Staff QA Engineer – Power BI, Microsoft Fabric
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Job Description
Staff QA Engineer validating Power BI reports, Microsoft Fabric data, and SQL transformations. Ensuring reliable reporting solutions for businesses through end-to-end QA and data reconciliation.
Responsibilities:
- Define and execute comprehensive testing strategies across reporting ecosystems
- Execute QA strategies across data workflows, pipelines, and semantic models within Microsoft Fabric and Power BI environments
- Validate Lakehouse and semantic model layers, including data relationships, measures, and DAX calculation accuracy
- Perform source-to-visual data reconciliation using complex SQL queries against backend data sources
- Lead front-end Power BI UI testing, including report layouts, navigation, user permissions, and visual consistency
- Derive testable requirements from user stories and create structured test cases with clear acceptance criteria
- Document, track, and verify defects with reproduction steps, severity categorization, and supporting evidence across functional, regression, and UAT cycles
- Compare legacy reporting systems against Microsoft Fabric environments for functional parity and data alignment
- Conduct root cause analysis for data anomalies
- Collaborate with Data Engineers, Developers, and Product Stakeholders to resolve quality bottlenecks
Requirements:
- Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related technical field
- 5+ years of experience in Quality Assurance with a heavy focus on data-centric applications, Power BI reporting environments, and complex data validation
- Hands-on experience performing Power BI report testing at the Lakehouse and semantic model layers, including data relationships and DAX expression validation
- Demonstrated expertise in source-to-visual data reconciliation using advanced SQL queries
- Solid foundation in QA fundamentals, including structured test cases, defect lifecycle management, and root-cause investigations
- Practical experience working in Microsoft Fabric or Azure ecosystems, including data migrations, data pipeline verification, and environment parity comparisons
- Strong experience with Power BI Service, Power BI UI testing, semantic model layers, data relationships, and DAX validation
- Advanced SQL querying for backend data validation, source-to-visual reconciliation, and data pipeline verification
- Mastery of test case design, acceptance criteria definition, defect reporting, root-cause analysis, and functional, regression, and UAT testing
- Practical experience with Microsoft Fabric, Azure ecosystems, Lakehouse architectures, and advanced Excel
- Experience utilizing Jira, Azure DevOps, or similar test management tools
- Advanced English proficiency, written and verbal
- Nice to have: hands-on test automation with Playwright, Selenium, or similar frameworks
- Nice to have: automated testing approaches for data integration pipelines and CI/CT practices
- Nice to have: familiarity with AI-assisted testing or coding tools such as Claude Code, Cursor, or GitHub Copilot
- Nice to have: exposure to Azure security protocols, data governance frameworks, or large-scale data migrations to Microsoft Fabric
Benefits:
- Continuous education
- Onsite English classes
- Cutting-edge training in AI, machine learning, and next-gen technologies
- Equal opportunities and an inclusive, diverse workplace culture
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