QA Engineer (Data Testing - Fabric)

Greetings from AIS!!

AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsoft's oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team

For more information, please visit:

• http://www.ais.com
• https://www.ais.com/blog/

Role: QA Engineer

Exp.: Min. 4+ Years

Key Responsibilities

Microsoft Fabric Quality Engineering:

• Design, develop, and execute comprehensive test strategies for Microsoft Fabric solutions.
• Validate end-to-end data ingestion, transformation, and analytics workflows across OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark Notebooks, and Semantic Models.
• Perform functional, integration, regression, system, and user acceptance testing for Fabric workloads.
• Validate data quality, business rules, schema evolution, incremental data loads, and data reconciliation across Bronze, Silver, and Gold data layers.
• Test Power BI Semantic Models, Direct Lake datasets, reports, dashboards, DAX calculations, RLS and OLS.
• Validate CI/CD deployments, Git integration, deployment pipelines, and promotions across Development, Test, UAT, and Production.
• Execute performance, scalability, concurrency, and workload testing for Fabric capacities.
• Validate monitoring, logging, alerting, observability, and operational readiness.
• Identify, document, prioritize, and track defects using Azure DevOps.
• Develop reusable automation frameworks for Fabric testing.

Microsoft Fabric Data Agents & Agentic AI Testing:

• Validate Microsoft Fabric Data Agents and AI-powered conversational analytics experiences.
• Test natural language queries against structured and unstructured enterprise data.
• Verify response accuracy, completeness, consistency, and relevance.
• Validate grounding using OneLake, Lakehouse, Warehouse, and Semantic Models.
• Test agent orchestration, tool calling, workflow execution, and Azure AI integrations.
• Validate multi-step reasoning and autonomous agent interactions.
• Test edge cases, ambiguous prompts, and error scenarios.
• Perform prompt injection, jailbreak, adversarial prompt, and AI security testing.
• Validate RLS, OLS, RBAC, and workspace security enforcement.
• Develop automated tests for conversational AI, prompt regression, and response evaluation.

Required Skills

• Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Spark Notebooks, Semantic Models, Power BI, Direct Lake.
• Microsoft Copilot, GitHub Copilot, Claude AI, Azure OpenAI, Agentic AI, Fabric Data Agents, Prompt Engineering, RAG.
• Playwright, Python, SQL, API Testing, Data Testing, Azure DevOps, CI/CD.

If you are interested, please inbox your profile to [email removed]

Thanks & Regards,

Meghana Reddy M

Sr. Talent Acquisition Business Partner

Email: [email removed]