29 days ago
Chennai, IndiaSenior / Staff+
Responsibilities
- Design, develop, and maintain scalable ETL pipelines for data ingestion, transformation, and loading.
- Extract data from databases, APIs, network systems, billing systems, and operational platforms.
- Develop and optimize SQL queries for data processing and reporting.
- Build and maintain Python-based data transformation jobs using ETL frameworks.
- Ensure data quality, integrity, and consistency across pipelines.
- Collaborate with Data Analysts, Data Scientists, and business teams on data requirements.
- Tune and optimize ETL jobs and database queries.
- Document ETL processes, data mappings, and workflow designs.
Requirements
- 6–12 years of experience.
- Strong SQL and Python skills.
- Experience designing, developing, and maintaining scalable ETL and data pipelines.
- Experience with data extraction, transformation, loading, data quality, and performance optimization.
Benefits
- Location: Pan India CG locations.
- Notice period: Immediate to 30 days.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.
