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Metro-based generic QA title but specialized Microsoft Fabric/AI skills increase applicant filtering.
Requires Microsoft Fabric, data platform, and agentic AI expertise, limiting cross-industry transferability.
Multiple mandatory platform and automation skills required without explicit years, so medium strictness.
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Design, develop, and execute comprehensive test strategies for Microsoft Fabric data and AI solutions including end-to-end data workflows, Power BI semantic models, and CI/CD pipelines.
Perform functional, integration, regression, system, user acceptance, performance, scalability, and security testing specifically for Microsoft Fabric workloads and Agentic AI experiences.
Develop reusable automation frameworks and use tools like Playwright, Python, SQL, API testing, and Azure DevOps to automate tests and manage defects.
Experience with Microsoft Fabric components such as OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Spark Notebooks, Semantic Models, and Power BI.
Proficiency in test automation tools and languages including Playwright, Python, SQL, API Testing, along with Azure DevOps and CI/CD processes.
Familiarity with Microsoft Copilot, GitHub Copilot, Claude AI, Azure OpenAI, Agentic AI, Fabric Data Agents, Prompt Engineering, and RAG.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end quality engineering for complex data and AI platforms, especially Microsoft Fabric and related AI integrations.
Capable of independently designing and executing multi-layered testing strategies including data validation, AI conversational analytics validation, and security enforcement.
Comfortable operating in an Agile environment using automation and continuous integration tools to improve test coverage and release quality.