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Tier-1 employer, metro mid-level generalist data role with broad ETL/SQL requirements.
Data engineering skills transfer well, but financial systems and specific ETL/tool experience favor domain-aligned candidates.
Explicit 5-8 years and mandatory ETL/SQL plus database and tool experience enforce strict filtering.
Design, develop, and maintain scalable data pipelines and ETL workflows to support large data ingestion and processing.
Collaborate with stakeholders to integrate and manage data from multiple sources into unified platforms ensuring data quality and governance compliance.
Monitor and optimize data pipeline performance; document engineering processes and support cross-functional data-driven initiatives.
Bachelor’s degree in Computer Science, IT, Data Science, or related field.
5-8 years of experience in data engineering, data analysis, or software development.
Strong advanced SQL skills (Oracle, Teradata, Snowflake) and hands-on ETL experience with tools like Datastage, Informatica, Snaplogic.
Must be able to work onsite in Bangalore with a 5-day in-office schedule (Shift: 01:00-10:00 PM IST).
Experienced senior data engineer comfortable translating technical requirements into production-grade queries and data workflows.
Proficient in collaborating with business and IT teams for data integration and performance optimization in fast-paced environments.
Familiarity with CI/CD tools, ETL architectures, cloud solutions (AWS Glue), and data governance best practices aligned with large enterprise financial systems.