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Mid-level metro ETL tester role with generalist skills increases candidate competition.
ETL/DW testing skills are transferable but domain-specific data warehouse experience increases fit sensitivity.
Explicit 5–8 years and mandatory ETL, SQL, and database testing skills create strict shortlisting.
Validate and test ETL workflows, data transformations, migrations, and loading across data warehouse layers ensuring data accuracy, completeness, consistency, and integrity.
Design, develop, and execute test cases, scripts, and data validation using SQL and basic Python scripting to support test automation and reproducibility.
Identify, document, track, and support resolution of data defects collaborating with developers, data engineers, and stakeholders; maintain test documentation and reporting.
5–8 years of professional experience in ETL testing, data warehouse, or database testing roles.
Strong hands-on experience with at least one ETL tool such as Informatica, Talend, SSIS, or DataStage.
Proficient in writing complex SQL queries including joins, stored procedures, reconciliation, and data validation scripts.
Bachelor’s degree in Computer Science, IT, Engineering, or related field (or equivalent relevant professional experience).
Experienced in working with large data volumes, complex data warehouse schemas (star, snowflake), and source-to-target data validation.
Comfortable using basic Python scripting for automation support, data comparison, validation, and test utilities alongside strong SQL skills.
Familiar with defect tracking and test management tools (JIRA, ALM, Azure DevOps) and collaborating in Agile/Scrum delivery environments.