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 new 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 current 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