Role

ETL / Data QA Automation Engineer Experience:

4–8 years

Key Responsibilities: Design and execute

ETL/data validation test cases covering source-to-target data flows, transformations, mappings, and reconciliation. Develop and maintain

Python-based automation scripts/frameworks for data and ETL testing. Perform database validation using

SQL across source, staging, and target systems. Automate data quality checks, reconciliation, completeness, accuracy, and exception validations. Integrate automated tests with

CI/CD pipelines and generate test execution reports. Analyze defects, perform root-cause analysis, and work closely with developers/data engineers for resolution. Required Skills: Solid experience in

ETL/Data Testing and SQL . Positive hands-on experience with

Python and test automation . Experience with databases such as

SQL Server, PostgreSQL, or Snowflake . Knowledge of ETL tools such as

Informatica, Talend, SSIS, or equivalent . Experience with

Git, CI/CD, and automation frameworks . Valuable understanding of data validation, reconciliation, and data quality concepts.

📌 Senior Etl Consultant Chennai (India)
🏢 Kumaran Systems
📍 India