





Mid-level (5+ years) metro role with common SDET/data testing skills and moderate employer brand.
Data QA, SQL and automation skills are broadly transferable across industries.
Explicit 5+ years requirement plus mandatory SQL, ETL, Snowflake and automation skills make shortlisting highly strict.
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Develop and maintain SQL-based testing and data validation frameworks for enterprise data platforms to ensure data accuracy and reliability.
Design and execute automated database and API tests supporting ETL processes, data pipelines, and metadata management.
Collaborate with business SMEs and data analytics teams to enhance data ecosystem functionality and maintain automated testing standards and processes.
Bachelor's degree in Computer Science, IT, Engineering, or related field (or equivalent experience).
Minimum 5 years experience in software testing, test automation, data engineering, or quality engineering roles.
Strong proficiency in SQL testing and database validation including Snowflake and Microsoft SQL Server.
Experience in Agile environments and proficiency in Java and/or Python for test automation development.
Experienced in working with complex enterprise data platforms and ensuring data quality through automated testing frameworks.
Skilled at balancing technical development of test automation with consultative collaboration across technical and business stakeholders.
Capable of operating autonomously with a focus on outcomes, comfortable with ambiguity, and contributing to continuous improvement and knowledge sharing within international teams.