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Tier-1 brand, metro location, and mid-level generalist automation profile create high candidate density.
ETL and data-testing skills are transferable across industries but require specific tooling and data domain knowledge.
Explicit 4–8 years requirement plus mandatory ETL, SQL, and automation tooling enforces strict filters.
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Develop and execute ETL test cases and automation scripts ensuring data movement validation across source, staging, and target systems.
Perform data quality, regression, and integration testing using SQL queries for data validation and track resolution of data defects.
Collaborate with ETL developers, data engineers, and business teams while supporting automation and CI/CD testing initiatives.
4 to 8 years of relevant ETL/Data Testing experience.
Proficiency in ETL Testing, SQL & Database Testing, Data Warehouse Concepts, and Test Automation tools (Selenium/Python/Java preferred).
Experience with Informatica, SSIS, Talend, or DataStage; Unix/Linux commands; Jira; Azure DevOps; and CI/CD and Agile methodologies.
Education: BE/B.Tech/MBA/MCA or equivalent engineering degree (Bachelor or Master).
Experienced in handling end-to-end ETL automation testing in enterprise environments involving multiple ETL tools and data validation.
Demonstrates strong collaboration skills working closely with developers, data engineers, and business teams in Agile and CI/CD contexts.
Comfortable with both manual and automated testing approaches, with a strategic understanding of data quality and transformation processes.