The ideal candidate should have experience with Microsoft Fabric concepts, Power BI semantic model validation, SQL-based testing, data profiling, data reconciliation, defect management, QA documentation, Git/GitHub or Azure DevOps, deployment pipelines, and collaborative practices that ensure analytics solutions meet business, technical, and data quality expectations before production release. Demonstrates advanced knowledge of Microsoft Fabric QA and validation concepts, including OneLake, Lakehouse, Warehouse, notebooks, data pipelines, Delta tables, Direct Lake, semantic models, deployment pipelines, lineage, data reconciliation, and medallion-style data architecture.