Description

You will own end-to-end business intelligence delivery, from data engineering in Databricks to interactive Power BI reporting.

This role is on-site.

Responsibilities

• Design user-friendly, interactive dashboards and reports in Power BI, ensuring performance tuning and accurate data visualization.
• Develop and optimize SQL and T-SQL for ETL processes, data modeling, KPI logic, and query performance.
• Build and maintain Databricks end-to-end data engineering workflows, including workspaces, notebooks, and jobs using Delta Lake concepts.
• Implement distributed data processing with PySpark for data transformations, validation, and anomaly/KPI variance analysis.
• Leverage GenAI tools (Copilot, ChatGPT, LLMs) to optimize SQL/DAX measures, generate transformations, draft documentation, and create test datasets.

Required Skills

• 5+ years of experience in Analytics/BI, with strong end-to-end reporting and data interpretation expertise.
• Proficiency in Power BI for dashboard development, data modeling, and report performance tuning.
• Experience with Databricks and Databricks SQL for building reliable data pipelines and query logic.
• Strong command of T-SQL/SQL and Python for ETL, data transformations, troubleshooting, and automation.
• Ability to model data and understand complete data flow from database to Power BI.
• Familiarity with PySpark for distributed data processing.

Preferred Skills

• Experience with Tableau for additional visualization needs.
• Exposure to GenAI tools for NLP querying (e.g., Databricks Genie) and faster notebook development.
• Banking domain knowledge.

Key Skills

Education

Any Graduate