India · Senior
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Our tracked job listings for Bajaj Finance show limited recent activity.
First 72 hours
Window passed - posted 252d agoEarly applicants get seen before the pile builds.
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| Job Purpose | To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) and Azure Data Factory (ADF), work with NoSQL databases like Cosmos DB, and apply object-oriented programming (OOP) principles through C#/.NET for scalable data integration and backend services. |
| 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. |
| Key Decisions / Dimensions | • Making critical decisions during production issues, including root cause analysis, quick fixes, and long-term resolutions. • Prioritizing and escalating support tasks effectively to minimize downtime and business impact. • Driving decisions around technical design, architecture, and optimization to ensure performance, scalability, and maintainability of solutions. |
| Major Challenges | • Balancing development timelines with on-time delivery in a dynamic and evolving technical environment. • Coordinating with multiple internal and external stakeholders to align priorities, resolve dependencies, and ensure smooth execution. • Ensuring code quality, data integrity, and performance while scaling data solutions across diverse systems and platforms. |
| Required Qualifications and Experience | • Azure Databricks - PySpark, SQL - Must Have • Azure Data Factory – For ETL & Data Integrations - Must Have • OOPS Concept Implementation in C#/.Net • COSMOS Database for NoSQL DB • Event Hub & Kafka for Change Feed & Real-Time Streaming - Good to Have • Azure Data Explorer as Time Series Database with Kusto Query Language (KQL) As Programming Language - Good to Have Soft Skills: • Strong problem-solving and analytical thinking • Good communication and stakeholder management • Ability to work independently and as part of a team in a fast-paced environment • Strong attention to detail and data integrity |
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