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Mid-level, common ETL/data testing skillset increases applicant competition despite lesser-known employer.
ETL and data-testing skills transfer across industries, but specialist data warehouse experience moderately reduces portability.
Explicit 4–8 years plus mandatory ETL, SQL, and data warehouse skills enforces strict candidate filters.
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Design and execute ETL and data validation test cases to ensure accuracy of data extraction, transformation, and loading processes.
Perform source-to-target data reconciliation and validate data through SQL queries and data testing techniques.
Identify, analyze, and report data quality issues and defects while collaborating with Data Engineers, Developers, and Business teams.
4–8 years of experience in ETL/Data Testing and validation.
Strong SQL query writing skills mandatory for data validation.
Experience with ETL tools, data pipelines, and Data Warehouse concepts.
Experience in source-to-target mapping and defect tracking as part of QA processes.
Experienced in hands-on ETL and database testing in complex data environments.
Comfortable working with cross-functional teams including developers and business stakeholders on data quality.
Familiarity with cloud platforms (Azure/AWS/GCP) and scripting languages (Python/PySpark) is a plus but not mandatory.