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Overview We are seeking a detail-oriented Quality Assurance (QA) Specialist with strong expertise in Power BI testing and Microsoft Fabric migrations. This role is critical in ensuring data integrity, reliability, and performance across reporting and analytics platforms. The ideal candidate will combine front-end user testing skills (Power BI Service navigation, report usability validation, Playwright) with back-end data validation (SQL queries, pipeline testing, and semantic model validation). Key Responsibilities QA Strategy & - Execution Develop and implement QA strategies for data workflows, pipelines, and semantic models within Microsoft Fabric.Establish repeatable testing processes to validate data quality, consistency, and accuracy across Power BI reports and semantic models.Testing & - Validation Test Power BI Service functionality, including navigation, permissions, and user interactions.Validate report outputs and ensure consistency with underlying data sources.Query SQL databases to verify data accuracy, transformations, and performance.Compare legacy and modern data platform implementations to ensure equivalent functionality and results.Automation & - Documentation Design and maintain automated testing processes for data pipelines, semantic models, and and maintain comprehensive test plans, test cases, and execution , analyze, and report quality metrics while ensuring agreed service levels for data quality and availability.Collaboration & - Issue Resolution Collaborate with Business Analysts, Power BI Developers, Data Engineers, Data Modelers, and Governance teams to maintain high data quality standards.Perform root cause analysis for data and reporting issues and coordinate resolution efforts.Recommend improvements to QA processes, testing frameworks, methodologies, and tools.Required Skills & Experience Proven experience in Power BI Service testing, including navigation, permissions, and report SQL skills for backend data validation and troubleshooting.Proficiency in Microsoft Excel, including Pivot Tables, Lookups, and data comparison techniques.Solid understanding of data quality principles, including completeness, accuracy, consistency, and integrity.Familiarity with Microsoft Fabric and Azure data with automated testing frameworks for data pipelines and defining, tracking, and reporting QA and data quality metrics.Excellent documentation skills for creating clear, repeatable, and maintainable test artifacts.Preferred Qualifications Hands-on experience testing data migration projects involving Microsoft Fabric.Familiarity with AI-assisted testing frameworks and Software Development Life Cycle (SDLC) practices.Knowledge of Azure security, governance, and access management concepts.Experience performing root cause analysis for complex data and reporting issues.Exposure to Continuous Integration / Continuous Testing (CI/CT) practices.Experience using Playwright for front-end test : 1,500,000.00 - 2,500,000.00 per year Work Location: In person . .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.