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Strong brand, metro location, mid-level generalist Data/ETL role with common SQL/ETL skills drives high competition.
ETL, SQL, and BI tool experience is generally transferable across industries but favors data/analytics backgrounds.
Explicit 4–9 year requirement plus mandatory SQL, AWS Glue and Informatica skills make filtering strict.
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Design, develop, and maintain ETL pipelines using AWS Glue and Informatica PowerCenter to ensure efficient, reliable, and performant data flows.
Write complex SQL queries and stored procedures on SQL Server or other SQL-based databases, optimizing for performance and data integrity.
Automate recurring ETL and data processing tasks, collaborate with BI teams to model data for reporting and analytics, supporting fast data delivery.
4 to 9 years of relevant work experience in data analysis and ETL engineering.
Strong SQL skills including complex queries and stored procedures, with experience on SQL Server or similar RDBMS.
Hands-on experience with ETL tools specifically AWS Glue and Informatica PowerCenter.
Must be able to work full-time onsite 5 days a week from Chennai office.
Experienced in end-to-end ETL design and management with a focus on performance and automation.
Comfortable working closely with BI and analytics teams, preferably with knowledge of MicroStrategy or similar BI tools.
Capable of addressing legacy stored procedure optimization and driving efficient data pipeline strategies in a corporate data environment.