India · Senior
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Our tracked job listings for Bajaj Finance show limited recent activity.
First 72 hours
Window passed - posted 58d agoEarly applicants get seen before the pile builds.
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| 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 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 |
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