Job Description
Job Description
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: Strong experience in ETL/Data Testing and SQL . Good 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 . Good understanding of data validation, reconciliation, and data quality concepts.