Data Warehouse Testing

As a Quality Engineering Lead in Data Warehouse Testing, you will be at the heart of ensuring that business-critical data is accurate, reliable, and ready for insight-driven decisions. You will lead testing efforts across complex DWH and ETL ecosystems, collaborating closely with data engineers, BI developers, and business stakeholders to validate data flows end-to-end. This role offers the opportunity to shape test strategies, introduce best practices, and mentor a team of testers while working on large-scale, enterprise-grade data platforms.If you enjoy solving data quality challenges, designing robust test frameworks, and driving continuous improvement in a collaborative environment, this position will allow you to make a visible impact on how data powers the organization’s success.

• Lead end-to-end Data Warehouse Testing (DWT) initiatives across multiple projects, ensuring high data quality and integrity.
• Design, plan, and execute test strategies and test plans for data warehouse and ETL components based on business and technical requirements.
• Validate data mapping, data transformations, aggregations, and data movement from source to staging, DWH, and downstream systems.
• Develop and maintain comprehensive test cases, test scenarios, and test data sets for DWT and ETL testing.
• Perform functional, regression, system integration, and user acceptance support testing for data warehouse solutions.
• Analyze complex SQL queries and datasets to identify data discrepancies, defects, and root causes.
• Collaborate with ETL developers, data modelers, and business analysts to clarify requirements and resolve defects efficiently.
• Establish and enforce quality standards, best practices, and processes for data testing within the team.
• Provide technical leadership and mentoring to junior testers, guiding them on DWT and ETL testing techniques and tools.
• Prepare clear test reports, defect metrics, and quality dashboards for stakeholders and project leadership.
• Participate in design and code review discussions from a quality perspective, highlighting potential data quality risks.
• Coordinate with cross-functional teams to ensure timely test execution and alignment with project timelines and release plans.
• Position will be based on business requirements across locations.