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QA lead

2 weeks ago

St Louis, Missouri, United States Omni Inclusive Full time
  • 10+ years of experience in data quality testing, with at least 5+ years in a lead role.
  • Hands-on experience with BigQuery, SQL, and Python for data validation and test automation.
  • Strong understanding of ETL testing, data warehouse testing, and data lake validation.
  • Experience with data testing frameworks
  • Familiarity with cloud-based CI/CD tools and integrating test automation.
  • Strong analytical and problem-solving skills for debugging data issues.
Test Strategy & Planning:

• Develop and implement a data quality testing strategy covering data lake, data warehouse, and data pipelines.

• Define test plans, test cases, and automation frameworks for data validation, transformation logic, and system integration

• Establish best practices for data quality testing, anomaly detection, and root cause analysis.

• Establish Entry & exit criteria and acceptance criteria for Functional testing

• Establish plan & strategy for Performance testing

Test Execution & Automation:

• Perform functional, regression, and performance testing of data pipelines and transformations.

• Coordinate with & mentor Test Engineers / Data Quality Testers, Data Quality Analysts for successful Test execution.

• Coordinate with offshore members (if any) for completion of Testing Life Cycle and adherence to Testing standards.

• Automate data validation and reconciliation using Python, SQL, and testing frameworks.

• Work with engineering teams to integrate automated tests into CI/CD pipelines for continuous testing.

• Develop data comparison and anomaly detection scripts for large datasets in BigQuery.

Collaboration & Stakeholder Management:

• Partner with data engineers, analysts, and business teams to define data quality requirements.

• Work closely with DevOps to integrate data testing automation into deployment pipelines.

• Lead data quality issue triaging, debugging, and resolution efforts.

• Communicate data quality KPIs and test results to stakeholders.

• Collaborate with UAT Testers as early in the life cycle.