• We are looking for an experienced Data Engineer with strong expertise in building scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data solutions. The candidate will be responsible for developing reliable data platforms to support enterprise analytics, AI, and reporting requirements.

  Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.

  • Build data integration and transformation solutions using cloud technologies.

  • Develop data models, data warehouses, and real-time data processing solutions.

  • Implement data quality, validation, security, and performance optimisation practices.

  • Support AI/ML and analytics workloads and collaborate with Data Scientists and business teams.

  • Implement CI/CD and MLOps practices for automated and reliable data deployments.

Desired Candidate Profile

• Databricks, Azure Data Factory, Azure Data Lake

• PySpark, Python, SQL, Delta Lake

• Kafka / Real-time data processing

• ETL/ELT, Data Modelling & Data Warehousing

• Data Quality & Performance Optimisation

• CI/CD, MLOps and Cloud Data Engineering

Education: Bachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field.

Skills

Databricks

Azure Data Factory

PySpark