Working level data tester assigned to a delivery team or the shared pool. Independently designs and executes tests for standard work items under the direction of the Data QA Lead.

• Perform quality assurance and quality control duties for the Enterprise Data Management and data development life cycle
• Participate in backlog refinement; review requirements and technical specifications and draft acceptance criteria and test cases before development starts
• Define, prepare and execute data validation, unit, integration, regression and source to target testing across SSIS, dbt, Fivetran, Python ingestion and Databricks pipelines
• Validate technical specifications against finished data products and support postproduction data audits
• Execute the practice quality gate checks (accuracy, latency, performance, security) for assigned work items and report results
• Document defects in Azure DevOps with clear reproduction steps and supporting evidence; retest fixes
• Maintain and execute assigned automated regression checks; contribute new automated checks with guidance
• Work with business analysts and developers to clarify scope and expected results
• Leverage AI/LLM-powered tools (e.g., Claude, Copilot) to accelerate test case generation, synthetic data and query review, validating AI-assisted output before use
• Utilize Agile methodologies; participate in daily scrums, testing, code reviews, build release and other recurring meetings
 

• 2+ years in QA testing, preferably in a data engineering or data warehousing environment
• Solid SQL for data validation and reconciliation; basic Python scripting
• Experience testing ETL/ELT loads or data warehouse changes
• Experience with defect and test management tooling (Azure DevOps or equivalent)
• Good verbal and written communication skills
• Superior problem-solving skills, self-motivation and the capacity to work under pressure and on tight deadlines
• Demonstrated ability to learn and utilize new technologies, disciplines and frameworks as needed
 • Familiarity with Agile/Scrum methodologies  
 Preferred Experience
• Hands-on experience with Databricks (PySpark, Delta Lake, Databricks Workflows/Jobs) or other Big Data/Spark platforms
• Exposure to data test automation frameworks (e.g., pytest, dbt tests)
• Exposure to Tableau or other BI reporting layers
• Banking or financial services industry experience EDW QA Practice Job Descriptions 
Education requirements
• Bachelor's Degree in Computer Science, Information Systems, Computer Engineering
or related field