Python Developer Jobs in UAE

Role: Principal AI Research Engineer - LLMs & Generative AI (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:This role requires developing and deploying AI models to solve complex problems in a high-impact domain. You will work independently on a contractual basis to design, implement, and optimize machine learning systems that deliver measurable business value. The work directly contributes to advancing AI capabilities in a fast-moving technical environment.<br>Key Responsibilities:• Design, train, and deploy AI models using frameworks like Tensor Flow or PyTorch to address specific business problems.• Optimize existing models for performance, scalability, and inference latency in production environments.• Collaborate with cross-functional teams to integrate AI solutions into existing data pipelines and infrastructure.• Conduct rigorous testing and validation to ensure model reliability, fairness, and compliance with technical standards.• Document technical decisions, model performance metrics, and deployment processes for internal and external stakeholders.<br>Required Skills & Qualifications:• Proficiency in Python and experience with AI/ML libraries such as Tensor Flow, PyTorch, or scikit-learn.• Minimum of 3 years of hands-on experience developing and deploying machine learning models in production.• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model lifecycle management.• Ability to work autonomously in a remote setting with clear communication of technical progress and challenges.<br>More About the Opportunity:This role offers the chance to contribute to cutting-edge AI projects with measurable impact across a global audience. You will have ownership over technical decisions and the opportunity to influence the direction of AI development in a dynamic environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now !

Role: Robotics Test & Validation Engineer (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:This contract position evaluates robotic systems for performance, reliability, and compliance against technical specifications. The role focuses on real-world assessments of autonomous and semi-autonomous machines in controlled and operational environments. By identifying functional gaps and safety risks, this work directly influences the deployment decisions of next-generation robotic platforms across industrial and consumer applications.<br>Key Responsibilities:• Design and execute structured evaluation protocols for robotic hardware and embedded software, including sensor accuracy, actuator responsiveness, and power efficiency.• Conduct failure mode analysis under simulated operational stresses such as temperature extremes, vibration, and electromagnetic interference.• Document quantitative performance metrics and compare results against established benchmarks or industry standards.• Collaborate with cross-functional teams to translate evaluation findings into actionable recommendations for firmware or mechanical design improvements.• Maintain compliance with relevant safety and regulatory frameworks during all testing procedures.<br>Required Skills & Qualifications:• Degree in Robotics, Mechatronics, Electrical Engineering, or a related field with a focus on control systems and sensors.• Minimum of 3 years of hands-on experience evaluating robotic platforms, including both simulation and physical testing.• Proficiency in Python or C++ for test automation and data logging, with experience using ROS (Robot Operating System) or similar frameworks.• Familiarity with calibration procedures for inertial measurement units, LiDAR, and motor controllers in robotic systems.• Strong analytical skills to interpret sensor data, detect anomalies, and produce clear technical reports for engineering stakeholders.<br>More About the Opportunity:The role supports the development of certified robotic systems destined for global markets, contributing to rigorous pre-compliance validation before full-scale manufacturing. This position offers exposure to cutting-edge robotics across industries including logistics, healthcare, and industrial automation, with potential for involvement in future product iterations.

Role: Expert Consultant (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:This role involves providing expert guidance to clients implementing AI-driven solutions on a contractual basis. The consultant will analyze business requirements, translate them into technical specifications, and ensure smooth deployment of AI models. This work directly impacts client success by aligning technology solutions with strategic objectives in the rapidly evolving AI landscape.<br>Key Responsibilities:• Deliver end-to-end professional services engagements for AI model deployment, including requirements gathering, solution design, and implementation planning.• Collaborate with client stakeholders to assess technical feasibility and align AI solutions with business goals.• Develop and present technical documentation, including architecture diagrams and implementation roadmaps.• Conduct training sessions and knowledge transfer workshops for client teams on AI model integration and best practices.• Monitor post-deployment performance, troubleshoot issues, and provide recommendations for optimization.<br>Required Skills & Qualifications:• Minimum 3 years of experience in consulting or professional services, with a focus on AI, software, or technology implementations.• Hands-on experience with AI model deployment pipelines and cloud platforms such as AWS, Azure, or GCP.• Strong analytical skills to interpret client requirements and translate them into technical specifications.• Proficiency in Python or another programming language used in AI development and integration.• Excellent communication skills to explain technical concepts to non-technical stakeholders.<br>More About the Opportunity:This role offers the chance to contribute to high-impact AI projects with measurable outcomes for global clients. The consultant will work on diverse engagements, gaining exposure to cutting-edge AI technologies and methodologies. Opportunities for professional growth include exposure to leadership in AI strategy and cross-functional collaboration.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Full Stack Engineer (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:A Senior Full Stack Engineer is needed to design, develop, and deploy scalable web applications for an AI-powered platform. The role focuses on building and optimizing front-end interfaces and back-end services to support real-time data processing and user workflows. This work directly impacts the platform’s performance, scalability, and user experience in a high-growth technology environment.<br>Key Responsibilities:• Develop and maintain full stack applications using modern frameworks and libraries.• Collaborate with cross-functional teams to define technical requirements and system architecture.• Write clean, maintainable, and efficient code across the stack, including APIs, databases, and user interfaces.• Troubleshoot, debug, and optimize application performance and scalability.• Implement security best practices and ensure compliance with data protection standards.<br>Required Skills & Qualifications:• 5+ years of full stack development experience with modern Java Script frameworks such as React, Angular, or Vue.• Proficiency in back-end technologies such as Node.js, Python (Django/Flask), or similar.• Strong understanding of RESTful and Graph QL APIs, microservices architecture, and cloud platforms like AWS or GCP.• Experience with databases including SQL and NoSQL systems, and Dev Ops practices (CI/CD, Docker, Kubernetes).• Familiarity with AI/ML integration, data pipelines, and distributed systems is a strong plus.<br>More About the Opportunity:This role offers the chance to contribute to a cutting-edge platform serving global users across multiple industries. The position supports rapid iteration and innovation in AI-driven features, with clear pathways for technical leadership and impact. Work spans full development lifecycle, from concept to deployment, in a fast-paced remote setting.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now !

Role: Principal AI Research Engineer - LLMs & Generative AI (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:This role requires developing and deploying AI models to solve complex problems in a high-impact domain. You will work independently on a contractual basis to design, implement, and optimize machine learning systems that deliver measurable business value. The work directly contributes to advancing AI capabilities in a fast-moving technical environment.<br>Key Responsibilities:• Design, train, and deploy AI models using frameworks like Tensor Flow or PyTorch to address specific business problems.• Optimize existing models for performance, scalability, and inference latency in production environments.• Collaborate with cross-functional teams to integrate AI solutions into existing data pipelines and infrastructure.• Conduct rigorous testing and validation to ensure model reliability, fairness, and compliance with technical standards.• Document technical decisions, model performance metrics, and deployment processes for internal and external stakeholders.<br>Required Skills & Qualifications:• Proficiency in Python and experience with AI/ML libraries such as Tensor Flow, PyTorch, or scikit-learn.• Minimum of 3 years of hands-on experience developing and deploying machine learning models in production.• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for model lifecycle management.• Ability to work autonomously in a remote setting with clear communication of technical progress and challenges.<br>More About the Opportunity:This role offers the chance to contribute to cutting-edge AI projects with measurable impact across a global audience. You will have ownership over technical decisions and the opportunity to influence the direction of AI development in a dynamic environment.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now !

Role: Expert Consultant (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:This role involves providing expert guidance to clients implementing AI-driven solutions on a contractual basis. The consultant will analyze business requirements, translate them into technical specifications, and ensure smooth deployment of AI models. This work directly impacts client success by aligning technology solutions with strategic objectives in the rapidly evolving AI landscape.<br>Key Responsibilities:• Deliver end-to-end professional services engagements for AI model deployment, including requirements gathering, solution design, and implementation planning.• Collaborate with client stakeholders to assess technical feasibility and align AI solutions with business goals.• Develop and present technical documentation, including architecture diagrams and implementation roadmaps.• Conduct training sessions and knowledge transfer workshops for client teams on AI model integration and best practices.• Monitor post-deployment performance, troubleshoot issues, and provide recommendations for optimization.<br>Required Skills & Qualifications:• Minimum 3 years of experience in consulting or professional services, with a focus on AI, software, or technology implementations.• Hands-on experience with AI model deployment pipelines and cloud platforms such as AWS, Azure, or GCP.• Strong analytical skills to interpret client requirements and translate them into technical specifications.• Proficiency in Python or another programming language used in AI development and integration.• Excellent communication skills to explain technical concepts to non-technical stakeholders.<br>More About the Opportunity:This role offers the chance to contribute to high-impact AI projects with measurable outcomes for global clients. The consultant will work on diverse engagements, gaining exposure to cutting-edge AI technologies and methodologies. Opportunities for professional growth include exposure to leadership in AI strategy and cross-functional collaboration.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Robotics Test & Validation Engineer (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:This contract position evaluates robotic systems for performance, reliability, and compliance against technical specifications. The role focuses on real-world assessments of autonomous and semi-autonomous machines in controlled and operational environments. By identifying functional gaps and safety risks, this work directly influences the deployment decisions of next-generation robotic platforms across industrial and consumer applications.<br>Key Responsibilities:• Design and execute structured evaluation protocols for robotic hardware and embedded software, including sensor accuracy, actuator responsiveness, and power efficiency.• Conduct failure mode analysis under simulated operational stresses such as temperature extremes, vibration, and electromagnetic interference.• Document quantitative performance metrics and compare results against established benchmarks or industry standards.• Collaborate with cross-functional teams to translate evaluation findings into actionable recommendations for firmware or mechanical design improvements.• Maintain compliance with relevant safety and regulatory frameworks during all testing procedures.<br>Required Skills & Qualifications:• Degree in Robotics, Mechatronics, Electrical Engineering, or a related field with a focus on control systems and sensors.• Minimum of 3 years of hands-on experience evaluating robotic platforms, including both simulation and physical testing.• Proficiency in Python or C++ for test automation and data logging, with experience using ROS (Robot Operating System) or similar frameworks.• Familiarity with calibration procedures for inertial measurement units, LiDAR, and motor controllers in robotic systems.• Strong analytical skills to interpret sensor data, detect anomalies, and produce clear technical reports for engineering stakeholders.<br>More About the Opportunity:The role supports the development of certified robotic systems destined for global markets, contributing to rigorous pre-compliance validation before full-scale manufacturing. This position offers exposure to cutting-edge robotics across industries including logistics, healthcare, and industrial automation, with potential for involvement in future product iterations.

Company Description MTEAnalytics is a data-focused organization dedicated to helping businesses make informed decisions through actionable insights. The team works with modern analytics tools and methods to transform raw data into clear, meaningful information for stakeholders. MTEAnalytics values curiosity, integrity, and collaboration in solving complex business problems. The company supports remote collaboration and encourages continuous learning in analytics, data science, and related fields.<br>Role Description This is a remote internship role for a Data Analytics Intern at MTEAnalytics. The intern will assist in collecting, cleaning, and organizing datasets from various sources to support business analysis. Day-to-day responsibilities include running basic statistical analyses, building reports and dashboards, and supporting senior analysts with data-driven projects. The intern will help translate analytical findings into clear summaries, visuals, and recommendations for internal and external stakeholders. The role also involves documenting methods, maintaining data quality standards, and participating in virtual team meetings and knowledge-sharing sessions.<br>Qualifications<br> Strong foundational Analytical Skills, including problem-solving, critical thinking, and attention to detail. Interest or coursework in Business Analytics, with the ability to connect data insights to business questions and decisions. Hands-on exposure or academic experience in Data Analytics, including working with datasets, metrics, and basic visualization. Understanding of Analytics concepts and workflows, such as data pipelines, reporting, and performance tracking. Basic knowledge of Statistics, including descriptive statistics, distributions, and hypothesis testing. Familiarity with tools such as Excel/Google Sheets and at least one analytics or programming tool (e.g., SQL, Python, R, or a BI platform) is preferred. Currently pursuing or recently completed a degree in a quantitative field such as Data Science, Statistics, Economics, Computer Science, Engineering, or a related discipline. Clear written and verbal communication skills, with the ability to explain data findings in simple, non-technical language. Ability to work independently in a remote environment, manage time effectively, and collaborate with a distributed team.

Company Description MTEAnalytics is a data-focused organization dedicated to helping businesses make informed decisions through actionable insights. The team works with modern analytics tools and methods to transform raw data into clear, meaningful information for stakeholders. MTEAnalytics values curiosity, integrity, and collaboration in solving complex business problems. The company supports remote collaboration and encourages continuous learning in analytics, data science, and related fields.<br>Role Description This is a remote internship role for a Data Analytics Intern at MTEAnalytics. The intern will assist in collecting, cleaning, and organizing datasets from various sources to support business analysis. Day-to-day responsibilities include running basic statistical analyses, building reports and dashboards, and supporting senior analysts with data-driven projects. The intern will help translate analytical findings into clear summaries, visuals, and recommendations for internal and external stakeholders. The role also involves documenting methods, maintaining data quality standards, and participating in virtual team meetings and knowledge-sharing sessions.<br>Qualifications<br> Strong foundational Analytical Skills, including problem-solving, critical thinking, and attention to detail. Interest or coursework in Business Analytics, with the ability to connect data insights to business questions and decisions. Hands-on exposure or academic experience in Data Analytics, including working with datasets, metrics, and basic visualization. Understanding of Analytics concepts and workflows, such as data pipelines, reporting, and performance tracking. Basic knowledge of Statistics, including descriptive statistics, distributions, and hypothesis testing. Familiarity with tools such as Excel/Google Sheets and at least one analytics or programming tool (e.g., SQL, Python, R, or a BI platform) is preferred. Currently pursuing or recently completed a degree in a quantitative field such as Data Science, Statistics, Economics, Computer Science, Engineering, or a related discipline. Clear written and verbal communication skills, with the ability to explain data findings in simple, non-technical language. Ability to work independently in a remote environment, manage time effectively, and collaborate with a distributed team.

Description<br><br>Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically — driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team.<br><br>The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards. The role partners with FE engineers, regional leads, and cross-functional Gen AI platform teams to deliver measurable productivity outcomes within the region.<br><br>This is a hands-on execution role — not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region.<br><br>Key job responsibilities<br><br>Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities<br><br>Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region<br><br>Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions<br><br>Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption<br><br>Work with Gen AI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments<br><br>Coach and enable FE engineers on practical, approved AI tools including Python-based tooling, Kiro, and internal AI platforms<br><br>Track and report adoption metrics and operational KPIs to regional and senior FE leadership<br><br>Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional FE teams<br><br>Contribute to the broader FE AI integration community by sharing learning, patterns, and outcomes across regions<br><br>Support development of FE-led initiatives including waveform analytics, reporting automation, engineering tooling, and operational dashboards<br><br>A day in the life<br><br>You are embedded in the regional Field Engineering team — working alongside engineers during live investigations, building automation patterns, and coaching ICs on workflow adoption. You spend your time identifying what's slowing engineers down, prototyping AI-assisted solutions, and driving adoption of what works.<br><br>You are a dedicated member of the regional team, accountable for making AI integration real and measurable. You bring technical depth, operational curiosity, and a bias for action. You move fast, learn from what you build, and share what works with the broader FE AI integration community.<br><br>You are known in your region as the person who makes AI practical — and delivers it.<br><br>About The Team<br><br>Field Engineering supports critical operational functions across global AWS infrastructure. The organization spans multiple engineering disciplines and regions — covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement.<br><br>The team is actively building AI-enabled workflows to improve operational efficiency and accelerate engineering execution. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all FE regions.<br><br>Basic Qualifications<br><br> Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or experience in a ML or data scientist role with a large technology company 3+ years of technical program management experience Experience working with or evaluating AI systems<br><br>Preferred Qualifications<br><br> Experience in data center engineering or operations, or experience in project management Experience leveraging technology to drive process improvements Experience in creating process improvements with automation and analysis, or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python) Experience working within a global company, with multi-country responsibilities Experience leading and influencing your team or organization, or experience leading engineering teams as a mentor or tech lead Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br><br>Company - Amazon Data Services Emirates LLC - Dubai Branch<br><br>Job ID: A10481151

Job Purpose<br><br>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.<br><br>The role of the Analytics & Insights Specialist is to support the delivery of analysis and insights use cases for a diverse range of departments and business stakeholders. Work closely to support the Analytics and Insights Manager to develop information driven solutions that help business leaders understand their data and how it can be used to identify opportunities and solve complex business problems. The Analytics and Insights Specialist uses a variety of business and technical skills to deliver bespoke information products rapidly that ensures data and information provide valuable context that underpins each decision. This role also provides technical subject matter expertise within their domain to design solutions that are reliable, scalable and empower business to access the data they need, when they need it most.<br><br>In This Role, You Will<br><br>Support the Analytics and Insights manager in the delivery of complex insights use cases in a manner which is accepted by business stakeholders, through compelling visualisation and narratives incorporating analytical insight into actionable business narratives. Leverage relevant frameworks that capture relevant data models and business logic whilst ensuring a systematic approach to deliver projects of high value in a timely manner leveraging self-service capabilities where possible. Support the Analytics and Insights manager in assisting various stakeholders to define relevant metrics and KPI?s and designing action orientated reports. Based on past insights engagements support business users on ad hoc analytics questions, best practice use of tools analytical tools, such as Power BI and Snowflake. Support the Analytics and Insights manager, partnering with relevant business units identifying performance, causal analysis, data gaps, and provide recommendations. Support the Analytics and Insights manager in transitioning meaningful insights to the relevant business unit power users via training and coaching and/or productionising analysis via Enterprise Data and Analytics (ED&A) large solutions. Ensuring the business is enabled with self-service and to maintain the on-going analysis. Conduct in-depth analysis, utilising relevant statistical methods to provide actionable insights based on business hypothesis. Dependant on the insights use case, support the Analytics and Insights Manager to technically retrieve and query data from relevant source system if not already ingested and available in the enterprise data platform. Based on Insights use case, complete relevant documentation including business logic, transformations, and semantic definition to ensure smooth transition to business handover or productionising insights use case to ED&A large solutions.<br><br>Qualification<br><br>To be considered for this role, you must meet the below requirements:<br><br>Qualifications: Completed Bachelors/Masters Degree or Honours (12+3 or equivalent) Experience: 5+ Years of experience in Information Technology or other related field. <br><br>Knowledge & Skills<br><br>Experience in working with and having an understanding of Data & Analytics tools and platforms including Data Warehouses data lakes and visualisation toolsets. Experience and knowledge in one or more of the following business domains such as: customer, commercial, operations, Finance, Human Resources etc. Experience in using analytics tools and technologies (e.g. SQL, Python, Power BI, Tableau, Looker). Experience of delivering end to end analysis of a business problem from data extraction, modelling to dashboard creation and monitoring over time. Experience of Power BI/Micro Strategy or other visualisation tool set is a must. Strong analytics and business intelligence skills. Knowledge of SQL/Python/R. Excellent communication skills, with the ability to interact with stakeholders at all levels of the business, including external parties. Knowledge of BI applications and design principles. Knowledge of data and KPIs commonly used in airline industry, particularly as they relate to the commercial application of this information.<br><br>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.</p><br><p>As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.</p><br><p>As a Senior Data Analyst, you will be in a central position, evangelising data and our methodologies to other functional analysts and stakeholders across the company. You will have close interaction with teams in marketing, sales, finance, and product.</p><br><p><strong>In this role, you will:</strong></p><br><ul><li>Access data, construct, and manipulate large datasets to support planned analyses using SQL, Python, and similar tools.</li><li>Design and develop BI dashboards with Sisense or similar tools (Tableau, Power BI, Data Studio) for various organisational metrics and indicators, applying best practices and industry standards across finance, sales, inventory, and other areas.</li><li>Conduct full lifecycle analysis to include requirements, activities and design.</li><li>Define KPIs and metrics, and drive data governance through standardisation and communication.</li><li>Create the documentation and presentation for the management.</li><li>Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements.</li><li>Adept at queries, report writing and presenting findings.</li><li>Research and validate entity data using appropriate internal and external data sources.</li><li>Validate entity reference data in a central account database.</li><li>Responsible for exception management, reconciliation, and reporting.</li><li>Liaise and perform analysis across projects within the Reference Data environment.</li><li>Analyse, identify specifications, test, and implement interfaces, workflow solutions, and reference data solutions – for example, regression testing systems ahead of upgrades.</li><li>Take ownership of allocated work throughout its entire life cycle.</li><li>Develop new models to address business needs and identify and implement improvements to existing solutions; projects are diverse and can take several forms (e.g., simulation, linear/non-linear optimisation, prediction, machine learning).</li><li>Participate in the design, implementation, and interpretation of experiments and trials to continuously refine ongoing strategies.</li><li>Responsible for data quality and the timely delivery of reports that make common business sense.</li><li>Create and maintain documentation for analytics, tools, and processes to ensure effective transition to the end user.</li><li>Prepare and deliver Data Analytics &amp; Reporting training to evangelise data across the organisation.</li><li>Be able to work autonomously without supervision on complex projects.</li></ul> </div>

The Opportunity<br><br>The Library and Learning Commons Department seeks an incumbent for the position of Digital Content Specialist who is responsible for the technical production, ongoing maintenance, and user support of the Library’s digital platforms and content, with a specific focus on emerging Artificial Intelligence (AI) tools and web-based services. This position supports the library's commitment to innovative service delivery by assisting in the lifecycle of digital initiatives, supporting the full lifecycle of digital initiatives, from planning and development through deployment, maintenance, and user support. Digital Content Specialist ensures the stability and functionality of the library’s digital platforms, web applications, and emerging technology initiatives.<br><br>The Responsibilities<br><br>Core Functional Accountabilities<br><br>Digital Platform Development<br><br> Participates in the design, development, and maintenance of web-based applications and tools to facilitate content delivery and enhance library operations. Develops and implements scripts or applications (e.g., using Python or R) to automate library tasks, clean metadata, or enhance user experience. Supports the creation and management of digital projects from concept to completion, ensuring milestones for development, testing, and launch are met. Explores potential open-source or commercial solutions for digital innovation, providing technical recommendations for their adoption.<br><br>AI & Emerging Technology Implementation<br><br> Supports the technical development and deployment of library AI tools (including chatbots and automated service points) by assisting with coding, testing, and knowledge base updates. Collaborates with librarians to implement AI-driven approaches for resource discovery, metadata enhancement, collection development, and other library services. Facilitates the setup and maintenance of immersive technology hardware and software (e.g. VR headsets, AR applications, and interactive displays) for student and faculty use. Troubleshoots technical issues related to library AI applications and digital hardware, ensuring high availability and optimal performance.<br><br>Digital Content Production & Instructional Support<br><br> Produces and edits high-quality multimedia learning objects (video, audio, interactive modules) that support the library’s information and media literacy instruction. Creates comprehensive, user-friendly documentation for new digital tools to facilitate adoption. Participates in digital material development, utilizing multimedia tools to create engaging content. Delivers technical training sessions or workshops to faculty and students on the use of library-supported emerging technologies. Ensures proper documentation and maintenance of digital assets and content, maintaining version control, security, and accessibility in compliance with institutional policies.<br><br>Assessment and User Experience<br><br> Collects and analyzes usage data from digital platforms, AI tools, and immersive stations to support data-driven decision-making and service improvements. Conducts usability testing on new digital interfaces and AI interactions to identify issues, recommending specific technical fixes. Analyzes user feedback and data insights, and recommend enhancements to digital content, services, and platforms to improve user experience and effectiveness. Creates APIs and integrations between library systems and external platforms Ensures all developed tools and digital interfaces comply with international accessibility standards and Universal Design principles.<br><br>General Position Accountabilities<br><br> Participate in the library’s public services and technological initiatives, including but not limited to references services, instructions, workshops, and subject guides. Participate in library programming, committees, training, scheduling of classes, and special activities. Works with student workers and provides them with guidance and feedback. Performs other relevant duties as requested.<br><br>The Requirements<br><br>Education<br><br> Bachelor’s degree in Information Technology, Computer Science, Digital Media, or Library Science.<br><br>Note: If the degree is not in Library Science, the candidate must demonstrate equivalent experience working within a library or academic environment.<br><br>Experience<br><br> Minimum 4–6 years of experience in digital content management, library systems, or digital platforms hands-on technical experience in, web application support, or emerging technology implementation. Prior professional experience in library operations, information organization, or higher education technology support. Demonstrated experience with Generative AI tools (LLMs), prompt engineering, or immersive technologies (VR/AR) is strongly preferred.<br><br>Other Essential Requirements<br><br> Programming & Scripting: Proficiency in Python for scripting and automation; familiarity with APIs and data handling. Web Development: Knowledge of HTML5, CSS, Java Script, and XML. Multimedia Production: Proficiency with video editing software (e.g., Adobe Premiere, Camtasia) and digital design tools. Hardware Support: Comfort with operating and troubleshooting hardware such as VR headsets, tablets, and interactive displays.<br><br>Desired Or Preferred Requirements<br><br> Bilingual (Arabic and English)<br><br>The Benefits<br><br>The University's benefits package is highly attractive, with competitive tax-free salaries in the UAE, cash housing, annual vacation airline tickets for the employee and immediate family, educational subsidies for children, and healthcare for the employee and the sponsored family members.<br><br>To Apply<br><br>In addition to completing the online application form, attach a cover letter, a current CV, and the names and contact details of three professional references.<br><br>While we appreciate all applications, you will be contacted only if selected for an interview.<br><br>For further inquiries, please contact Recruitment@zu.ac.ae

The Opportunity<br><br>The Library and Learning Commons Department seeks an incumbent for the position of Digital Content Specialist who is responsible for the technical production, ongoing maintenance, and user support of the Library’s digital platforms and content, with a specific focus on emerging Artificial Intelligence (AI) tools and web-based services. This position supports the library's commitment to innovative service delivery by assisting in the lifecycle of digital initiatives, supporting the full lifecycle of digital initiatives, from planning and development through deployment, maintenance, and user support. Digital Content Specialist ensures the stability and functionality of the library’s digital platforms, web applications, and emerging technology initiatives.<br><br>The Responsibilities<br><br>Core Functional Accountabilities<br><br>Digital Platform Development<br><br> Participates in the design, development, and maintenance of web-based applications and tools to facilitate content delivery and enhance library operations. Develops and implements scripts or applications (e.g., using Python or R) to automate library tasks, clean metadata, or enhance user experience. Supports the creation and management of digital projects from concept to completion, ensuring milestones for development, testing, and launch are met. Explores potential open-source or commercial solutions for digital innovation, providing technical recommendations for their adoption.<br><br>AI & Emerging Technology Implementation<br><br> Supports the technical development and deployment of library AI tools (including chatbots and automated service points) by assisting with coding, testing, and knowledge base updates. Collaborates with librarians to implement AI-driven approaches for resource discovery, metadata enhancement, collection development, and other library services. Facilitates the setup and maintenance of immersive technology hardware and software (e.g. VR headsets, AR applications, and interactive displays) for student and faculty use. Troubleshoots technical issues related to library AI applications and digital hardware, ensuring high availability and optimal performance.<br><br>Digital Content Production & Instructional Support<br><br> Produces and edits high-quality multimedia learning objects (video, audio, interactive modules) that support the library’s information and media literacy instruction. Creates comprehensive, user-friendly documentation for new digital tools to facilitate adoption. Participates in digital material development, utilizing multimedia tools to create engaging content. Delivers technical training sessions or workshops to faculty and students on the use of library-supported emerging technologies. Ensures proper documentation and maintenance of digital assets and content, maintaining version control, security, and accessibility in compliance with institutional policies.<br><br>Assessment and User Experience<br><br> Collects and analyzes usage data from digital platforms, AI tools, and immersive stations to support data-driven decision-making and service improvements. Conducts usability testing on new digital interfaces and AI interactions to identify issues, recommending specific technical fixes. Analyzes user feedback and data insights, and recommend enhancements to digital content, services, and platforms to improve user experience and effectiveness. Creates APIs and integrations between library systems and external platforms Ensures all developed tools and digital interfaces comply with international accessibility standards and Universal Design principles.<br><br>General Position Accountabilities<br><br> Participate in the library’s public services and technological initiatives, including but not limited to references services, instructions, workshops, and subject guides. Participate in library programming, committees, training, scheduling of classes, and special activities. Works with student workers and provides them with guidance and feedback. Performs other relevant duties as requested.<br><br>The Requirements<br><br>Education<br><br> Bachelor’s degree in Information Technology, Computer Science, Digital Media, or Library Science.<br><br>Note: If the degree is not in Library Science, the candidate must demonstrate equivalent experience working within a library or academic environment.<br><br>Experience<br><br> Minimum 4–6 years of experience in digital content management, library systems, or digital platforms hands-on technical experience in, web application support, or emerging technology implementation. Prior professional experience in library operations, information organization, or higher education technology support. Demonstrated experience with Generative AI tools (LLMs), prompt engineering, or immersive technologies (VR/AR) is strongly preferred.<br><br>Other Essential Requirements<br><br> Programming & Scripting: Proficiency in Python for scripting and automation; familiarity with APIs and data handling. Web Development: Knowledge of HTML5, CSS, Java Script, and XML. Multimedia Production: Proficiency with video editing software (e.g., Adobe Premiere, Camtasia) and digital design tools. Hardware Support: Comfort with operating and troubleshooting hardware such as VR headsets, tablets, and interactive displays.<br><br>Desired Or Preferred Requirements<br><br> Bilingual (Arabic and English)<br><br>The Benefits<br><br>The University's benefits package is highly attractive, with competitive tax-free salaries in the UAE, cash housing, annual vacation airline tickets for the employee and immediate family, educational subsidies for children, and healthcare for the employee and the sponsored family members.<br><br>To Apply<br><br>In addition to completing the online application form, attach a cover letter, a current CV, and the names and contact details of three professional references.<br><br>While we appreciate all applications, you will be contacted only if selected for an interview.<br><br>For further inquiries, please contact Recruitment@zu.ac.ae

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> DevOps Engineer Hardware Lead<br> Department: Internal IT FTE: 1<br> Special Notes: Arabic speaking is mandatory Customer Facing role) Hardware Knowledge is must<br> <br> <strong>Role Overview</strong><br> We are looking for a DevOps Engineer to build and manage automation pipelines for our internal systems, products, and customer projects.<br> This role focuses on making software delivery faster, more reliable, and easier to maintain across three main areas: <ol> <li>Internal enterprise applications </li><li>Customer service operations (including firmware and hardware drivers support) </li><li>Professional services projects for clients </li></ol> <br> <strong>Key Responsibilities</strong> <ul> <li>Design, build, and maintain CI/CD pipelines for internal software systems </li><li>Automate deployment and updates of enterprise applications (on-premise and cloud-based such as Salesforce and ServiceNow) </li><li>Support integration between different business systems </li><li>Develop automation pipelines for customer service operations, including: <ul> <li>Automate firmware flashing and upgrade processes </li><li>Build pipelines for hardware provisioning and system initialization </li><li>Standardize and automate OS and driver installation processes (BIOS, RAID, OS installation) </li><li>Support mass configuration of servers and storage systems </li><li>Standardise service workflows </li><li>Integrate with tools like IPMI / Redfish / vendor APIs </li></ul> </li><li>Automate testing of: <ul> <li>firmware updates </li><li>hardware compatibility </li><li>performance validation </li></ul> </li><li>Support professional services projects by: <ul> <li>Creating CI/CD pipelines for customer environments </li><li>Automating deployment of infrastructure and software solutions </li><li>Ensuring consistent and repeatable delivery </li><li>Create and maintain system images (OS + drivers + configs) </li><li>Automate image deployment across environments </li></ul> </li><li>Automate deployment of: <ul> <li>private cloud environments </li><li>virtualization platforms (VMware, Proxmox, etc.) </li><li>storage clusters </li><li>Create reusable deployment templates for customer environments </li></ul> </li></ul> Work closely with software developers, IT infrastructure, and customer service teams<br> Monitor pipelines and systems, troubleshoot issues, and improve reliability<br> Maintain documentation for pipelines and automation processes<br> <br> <strong>Requirements</strong> <ul> <li>Experience with CI/CD tools (e.g., GitLab CI, Jenkins, GitHub Actions or similar) </li><li>Good understanding of Linux systems and scripting (Bash, Python, or similar) </li><li>Experience with on-premise infrastructure and basic networking </li><li>Familiarity with cloud platforms or SaaS systems </li><li>Understanding of version control systems (Git) </li><li>Experience with infrastructure automation tools (e.g., Ansible, Terraform) </li><li>Experience working with hardware systems, firmware, or system provisioning </li></ul> <br> This is not a pure “cloud DevOps” role. It is a practical engineering role that includes: <ul> <li>Software &amp; Internal IT systems deployment </li><li>Hardware provisioning automation </li><li>Customer service operations for cloud and on prem CI/CD </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description A hands-on technical architect / engineering lead embedded with feature teams across IBM Technology. The role codes, builds solutions from scratch, and enforces software engineering best practices (DDD, TDD, SOLID, Hexagonal Architecture, Twelve-Factor App) while delivering reusable building blocks. The Technical Architect also animates a developer community of practice to elevate engineering maturity across all squads. Responsibilities Hands-On Engineering Code alongside squads: DDD (Bounded Contexts, Aggregates, Domain Events), Hexagonal Architecture, SOLID, TDD Ensure Twelve-Factor App compliance for all cloud-native services Software Factory &amp; CI/CD Define and enforce CI/CD pipelines, code review standards, trunk-based branching, static analysis (SonarQube), and API standards Establish observability patterns: structured logging, distributed tracing, correlation IDs Cloud Adoption Drive cloud-native design patterns across squads: microservices, serverless, event-driven, container orchestration on AWS (primary) and Azure Enforce infrastructure-as-code (Terraform), cloud security best practices (IAM, secrets management, network segmentation), and cost-aware architecture Reusable Building Blocks Design and code shared libraries, starter kits, and project archetypes embedding all best practices Feature Team Enablement Pair-program, conduct code reviews, run workshops on DDD / TDD / SOLID / Hexagonal / Twelve-Factor Mentor developers to elevate overall engineering maturity Developer Community Animate Community of Practice: tech talks, coding dojos, hackathons Maintain an engineering playbook with patterns, anti-patterns, and reference implementations Expected Deliverables Engineering Playbook (DDD, TDD, SOLID, Hexagonal, Twelve-Factor, CI/CD, API standards) Reusable building blocks, starter kits, and project archetypes CI/CD pipeline templates for all service types Architecture Decision Records (ADRs) Monthly code quality and CoP activity reports Technical debt register Skills Must have Technical Skills: 10+ years hands-on software development, building solutions from scratch Expert in Java (Spring Boot), C# (.NET Core), Python, or Kotlin Deep DDD, TDD/BDD, SOLID, Hexagonal / Clean Architecture, Twelve-Factor App CI/CD tooling (Git, GitLab CI/CD); Docker, Kubernetes; Terraform / IaC Cloud: AWS (EKS, MSK, Lambda, S3, RDS, IAM, CloudFormation, API Gateway, SQS/SNS); Azure (AKS, DevOps, Service Bus, Key Vault). Event-driven architectures (Kafka, SQS/Service Bus/IBM MQ); API design (REST, gRPC, OpenAPI) Security-by-design, observability, and code quality tooling (SonarQube, SAST/DAST) Soft Skills: Influences through craft, not authority; proven mentor and community builder Pragmatic: balances engineering excellence with delivery pressure Strong technical writing: ADR</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br>We are seeking a highly experienced Digital Delivery Manager to lead, govern, and advance Digital Design delivery across our Buildings Design business. <br>This senior role will be responsible for setting and implementing digital delivery strategies, improving multidisciplinary design workflows, and embedding current and emerging technologies across Architecture, Engineering, Project Delivery and Design Management teams. <br>The successful candidate will combine deep technical knowledge of BIM, Revit-based Delivery, Parametric Design, Design Automation, Digital Twins, and Data-Led Workflows with the leadership capability to drive adoption across a consulting engineering environment<br>Key Responsibilities:<br> Lead the digital delivery strategy for Buildings Design projects, ensuring consistent, efficient, and high-quality delivery across multidisciplinary teams.<br> Assist/Input into the production, oversee the implementation, and ensure maintenance of BIM execution plans, digital delivery standards, model production protocols, information management workflows, and quality assurance procedures.<br> Champion ISO 19650-aligned information management, Common Data Environment governance, model federation, clash detection, issue management, data validation, and structured digital handover processes.<br> Provide leadership to the BIM Managers for Revit-based design delivery across architectural, structural, mechanical, electrical, public health, and specialist design disciplines.<br> Drive the adoption of parametric and computational design workflows using tools such as Rhino, Grasshopper, Dynamo, Python, and related scripting or visual programming environments.<br> Identify opportunities to convert analogue or repetitive design, checking, reporting, and coordination processes into automated digital workflows.<br> Lead the implementation of design automation tools that improve productivity, reduce rework, enhance quality, and support more consistent design outcomes.<br> Guide project teams in the development and implementation of Digital Twin strategies, including asset data structuring, model readiness, operational data requirements, and lifecycle information handover.<br> Evaluate and integrate emerging digital delivery technologies, including AI-assisted design workflows, model checking platforms, automated reporting tools, data dashboards, reality capture, cloud collaboration platforms, and Digital Twin environments.<br> Work closely with design directors, project managers, discipline leads, BIM managers, and delivery teams to align digital solutions with business objectives and project requirements.<br> Establish training, mentoring, and upskilling programmes to improve digital capability across design teams.<br> Act as the senior digital delivery point of contact for clients, partners, subconsultants, contractors, and internal leadership teams.<br> Ensure any new protocols align with the wider Stantec Group policies and procedures.<br> Engage with Global initiatives for standardisation of Stantec workflows and standards, representing Buildings Middle East.<br><br><br><b>Qualifications</b><br> Bachelor’s degree in Architecture, Engineering, Construction Management, Computational Design, Digital Design, or a related built environment discipline.<br> Professional certifications in BIM, Digital Delivery, Information Management, or relevant software platforms are highly desirable.<br> Autodesk Certified Professional, Revit certification, Computational Design training, or equivalent technical credentials would be advantageous.<br> Minimum 10–15 years of progressive experience in BIM, digital delivery, design technology, or related roles within an engineering consultancy, architecture practice, multidisciplinary design firm, or major built environment organisation.<br> At least 5 years in a leadership role managing BIM, digital delivery, computational design, automation, or information management teams driving adoption and transformational change at a regional business level.<br> Proven experience delivering complex Buildings Design projects across multiple disciplines and project stages, from concept design through detailed design, tender, construction support, and handover.<br> Demonstrated experience developing and implementing BIM standards, digital delivery frameworks, automation strategies, and project-specific digital execution plans.<br> Strong understanding of engineering consultancy workflows, design coordination requirements, project delivery governance, and client-facing delivery expectations.<br>Technical Knowledge and Software Requirements:<br> Advanced knowledge of BIM authoring and coordination tools, particularly Autodesk Revit, Navisworks, Autodesk Construction Cloud, BIM 360, BIM Collaborate Pro, and related Autodesk ecosystem tools.<br> Strong working knowledge of model federation, clash detection, issue tracking, model auditing, information exchange, and digital QA/QC workflows.<br> Advanced understanding of parametric and computational design platforms such as Rhino, Grasshopper, Dynamo, and associated plug-ins or scripting environments.<br> Knowledge of design automation approaches using Dynamo, Grasshopper, Python, C#, APIs, custom Revit add-ins, Rhino.Inside.Revit, Speckle, Power Automate, Power BI, and other workflow automation platforms.<br> Familiarity with Digital Twin development and implementation, including asset information requirements, data schemas, model classification, IoT integration concepts, operational readiness, and integration with facilities management or asset management systems.<br> Experience with Common Data Environments and collaboration platforms such as Autodesk Construction Cloud, ProjectWise, Trimble Connect, BIMcollab, Revizto, SharePoint, and similar project delivery environments.<br> Awareness of current and emerging tools for reality capture, laser scanning, photogrammetry, AI-assisted model checking, generative design, automated code checking, data dashboards, and model-based reporting.<br> Strong understanding of ISO 19650 principles, BIM Execution Plans, Exchange Information Requirements, Asset Information Requirements, naming conventions, classification systems, and information delivery milestones.<br>Design Automation and Innovation Competencies:<br> Ability to identify repetitive design, documentation, checking, scheduling, quantity extraction, reporting, and coordination tasks that can be automated.<br> Experience developing or leading automation workflows that improve speed, accuracy, consistency, and design quality.<br> Ability to translate analogue processes, spreadsheet-based tools, manual checking routines, and discipline-specific workflows into scalable automated solutions.<br> Strong understanding of data-driven design, computational logic, interoperability, open data exchange, and integration between modelling, analysis, reporting, and project controls systems.<br> Ability to evaluate new technology against business value, project needs, user adoption, risk, cost, and measurable productivity benefits.<br> </div>

<p>This is a strategic leadership position with a strong hands-on focus, responsible for defining and executing the organisation's AI vision while building practical AI solutions that create measurable business value. Client Details A leading organisation undergoing a significant digital transformation, investing heavily in data, artificial intelligence, and emerging technologies. Description * Define and execute the enterprise AI strategy, driving adoption of Machine Learning, Generative AI, and advanced analytics across the organisation. Lead the design, development, and deployment of AI solutions, including LLM-powered applications, predictive models, intelligent automation, and AI agents. * Establish AI engineering best practices covering MLOps, model governance, monitoring, explainability, security, and responsible AI. * Partner with business stakeholders to identify, prioritise, and deliver high-value AI use cases that improve efficiency and decision making. * Build and develop a high-performing Data & AI function while fostering a culture of innovation, experimentation, and continuous learning. Job Offer * Opportunity to lead a high-profile AI transformation agenda with executive sponsorship. * Significant investment in AI, cloud, and emerging technologies.</p><p>* 10+ years' experience in Data, AI, Machine Learning, or Advanced Analytics, including leadership responsibility. * Hands-on experience designing and deploying AI/ML solutions using Python, cloud AI platforms, and modern data architectures. * Proven track record delivering AI products from concept to production within complex enterprise environments.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br>This is a strategic leadership position with a strong hands-on focus, responsible for defining and executing the organisation's AI vision while building practical AI solutions that create measurable business value.<br><br>Client Details<br><br>A leading organisation undergoing a significant digital transformation, investing heavily in data, artificial intelligence, and emerging technologies.<br><br>Description<br>Define and execute the enterprise AI strategy, driving adoption of Machine Learning, Generative AI, and advanced analytics across the organisation. Lead the design, development, and deployment of AI solutions, including LLM-powered applications, predictive models, intelligent automation, and AI agents.Establish AI engineering best practices covering MLOps, model governance, monitoring, explainability, security, and responsible AI.Partner with business stakeholders to identify, prioritise, and deliver high-value AI use cases that improve efficiency and decision making.Build and develop a high-performing Data &amp; AI function while fostering a culture of innovation, experimentation, and continuous learning.<br><br><br>Profile<br>10+ years' experience in Data, AI, Machine Learning, or Advanced Analytics, including leadership responsibility.Hands-on experience designing and deploying AI/ML solutions using Python, cloud AI platforms, and modern data architectures.Proven track record delivering AI products from concept to production within complex enterprise environments.<br><br><br>Job Offer<br>Opportunity to lead a high-profile AI transformation agenda with executive sponsorship.Significant investment in AI, cloud, and emerging technologies.<br><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">Data, AI <br> </div>

<ul><li><br><ul><li><p>Design, develop, and maintain scalable data pipelines using Snowflake.</p></li><li><p>Build and optimize ELT workflows using dbt.</p></li><li><p>Develop and orchestrate data pipelines using Apache Airflow.</p></li><li><p>Design and implement efficient data models to support analytical and business reporting</p></li></ul><p>requirements.</p><ul><li><p>Perform data ingestion from multiple structured and semi-structured data sources.</p></li><li><p>Optimize Snowflake performance through query tuning, clustering, partitioning, and warehouse</p></li></ul><p>optimization.</p><ul><li><p>Develop reusable, scalable, and maintainable SQL transformations.</p></li><li><p>Implement data quality checks, validation, and monitoring processes.</p></li><li><p>Collaborate with Data Architects, Business Analysts, BI Developers, and cross-functional teams to</p></li></ul><p>deliver robust data solutions.</p><ul><li><p>Troubleshoot production issues and ensure high availability of data pipelines.</p></li><li><p>Follow best practices for version control, CI/CD, testing, and documentation.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>8+ years of experience in Data Engineering.</p></li><li><p>Strong hands-on experience with Snowflake.</p></li><li><p>Advanced SQL programming and query optimization.</p></li><li><p>Mandatory experience with Apache Airflow.</p></li><li><p>Mandatory experience with dbt (Data Build Tool).</p></li><li><p>Strong understanding of ETL/ELT concepts and modern data engineering practices.</p></li><li><p>Experience building and maintaining enterprise-scale data pipelines.</p></li><li><p>Proficiency in Python for data engineering and automation.</p></li><li><p>Experience working with Git and version control.</p></li><li><p>Good understanding of data modeling techniques (Star Schema, Snowflake Schema, Dimensional</p></li></ul><p>Modeling).</p><ul><li><p>Experience working with structured and semi-structured data formats such as JSON, Parquet, and</p></li></ul><p>Avro.</p><ul><li><p>Strong analytical, debugging, and problem-solving skills.</p></li></ul>