• Design, develop, and maintain scalable data pipelines for efficient data ingestion and transformation, ensuring data integrity and reliability.
• Build and optimize complex SQL queries and stored procedures to extract, aggregate, and analyze data from various sources.
• Develop and implement robust data models and schemas that support business intelligence reporting and analytical needs.
• Create interactive and insightful dashboards and reports using BI tools like Tableau, Power BI, or Looker, translating data into actionable business insights.

Desired Candidate Profile

• 3–6 years of hands-on experience in Business Intelligence, BI Engineering, Data Engineering, or a related role.

• Strong proficiency in SQL and relational databases.

• Hands-on experience with Power BI and/or Tableau.

• Good understanding of ETL/ELT processes and Data Warehousing.

• Experience in data modelling, including Star and Snowflake schemas.

• Experience working with databases such as SQL Server, Oracle, PostgreSQL, or similar.

• Experience developing dashboards, reports, KPIs, and analytical datasets.

• Good understanding of data quality, data validation, and data integration concepts.

• Exposure to cloud-based data platforms such as Microsoft Azure, AWS, or GCP.

• Knowledge of Azure Data Factory, Databricks, Snowflake, or similar technologies is preferred.

• Experience with Power Query and DAX is preferred for Power BI-focused roles.

• Basic knowledge of Python for data processing or automation would be an advantage.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.

• Strong analytical and problem-solving skills.

• Good communication and stakeholder management skills.

• Ability to work independently as well as collaboratively within a team.

• Experience working in an enterprise environment with multiple data sources and business stakeholders.

Preferred Skills

• Banking or financial services experience.

• Experience working with large datasets and enterprise reporting platforms.

• Exposure to cloud-based BI and modern data platforms.

• Knowledge of data governance, data security, and data

Skills

SQL

ETL/ELT

Data Modelling