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Mid-level metro role with common QA title but niche ETL/data testing skills, moderate applicant competition.
Skills (SQL, ETL testing, data warehousing) are transferable across industries but require domain-specific knowledge.
Explicit 5-7 years requirement plus mandatory ETL/data QA and SQL skills increases filtering strictness.
Validate ETL processes, data transformations, and data warehouse solutions through comprehensive testing and data reconciliation.
Prepare and execute test scenarios including regression, integration, system, and end-to-end testing for data pipelines and batch jobs.
Identify, document, track, and collaborate on resolving data-related defects using tools such as Jira, contributing to test automation where applicable.
5-7 years of experience in ETL Testing, Data Warehouse Testing, or Data QA roles.
Strong hands-on experience with ETL/data warehouse testing and complex SQL query skills.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
Experience with defect-management and test-management tools such as Jira or ALM.
Experienced in validating source-to-target data mappings and understanding of dimensional modeling including SCD Types 1 and 2.
Comfortable working with cross-functional teams including developers and data engineers to resolve data issues.
Familiarity with SDLC, STLC, and automation of data-validation and regression tests is advantageous.