Job Purpose

Job Purpose – To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) and Azure Data Factory (ADF) and Sql.

To manage and maintain Azure Data-Lake platform including the storage optimisation.

To effectively manage and maintain databricks platform including the admin activities and willing to work on current features like Databricks Apps, Agent Bricks, AI/BI dashboard.

Should be well versed in Python, PySpark and Scala.Duties and Responsibilities

- Translate business requirements into technical solutions in collaboration with the PMO team.
- Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards.
- Design technical architecture and guide development efforts for enhancements and new projects.
- Develop and maintain robust ETL pipelines and data integration modules across systems.
- Ensure high data quality, platform stability,



and resolution of critical process issues.
- Monitor and resolve performance bottlenecks in data workflows and programs.
- Establish best practices, standard operating procedures, and drive their implementation across teams.
- Act as a liaison with business users and product managers to support daily data needs and strategic initiatives.
- Coordinate with internal and external development teams to troubleshoot and resolve issues efficiently.
- Manage workload through effective planning, prioritization, and progress tracking.Required Qualifications and Experience
- Azure Databricks – Python , PySpark, SQL - Must Have
- Azure Data Factory – For ETL & Data Integrations - Must Have
- OOPS Concept Implementation in Python
- Knowledge in dashboarding tool like PowerBI - Good to Have

📌 Senior Data Engineer (Pune)
🏢 Bajaj Finance
📍 Pune