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Lead Engineer (MS Fabric Migration & Development)
Lead Engineer (MS Fabric Migration & Development)Innover Digital • India
Lead Engineer (MS Fabric Migration & Development)

Lead Engineer (MS Fabric Migration & Development)

Innover Digital • India
9 hours ago
Job description
  • Architectural Blueprint : Define the target state architecture within Microsoft Fabric, specifically optimizing for OneLake and theLakehouse paradigm to handle 30+ TB of data.
  • Pipeline & SP Conversion Strategy : Develop the methodology for translating 20+ complex Azure Data Factory (ADF) pipelines and 30+ stored procedures into highly efficient Fabric Data Pipelines,Spark notebooks (PySpark), and Fabric Warehouse objects.
  • Performance Leadership : Establish performance benchmarks, select optimal Fabric features (like V-Order and Delta Lake), and oversee tuning efforts to ensure superior query performance post-migration.
  • Data Governance and Security (Fabric-First)
  • Unified Governance : Design and implement a centralized data access and security model across Fabric, ensuring consistency, compliance, and leveraging Microsoft Purview integration for unified data governance.
  • Quality & Lineage : Define standards for data quality checks and guarantee transparent data lineage for all migrated and new data flows.
  • Fabric DevOps and Automation (CI / CD)
  • DevOps Implementation : Lead the design and hands-on implementation of the end-to-end CI / CD pipeline for Fabric artifacts using Azure DevOps or GitHub Actions , automating deployment across Development, Test, and Production environments.

    • Version Control : Mandate and manage Git integration for all Fabric items, establishing branching, merging, and release management policies for the entire engineering team.
    • Required Qualifications :

      Education : Bachelor or Masters degree in Computer Science, Engineering, or a related field.

      Experience :

    • Expertise : 8+ years in data engineering roles, with at least 2 years in a technical leadership or architectural capacity.
    • Dual-Platform Mastery : Deep, demonstrable experience with Azure Data Factory, Azure Synapse Analytics, and Azure SQL DW / DB , paired with expert-level hands-on experience in Microsoft Fabric .
    • DevOps : Proven track record of designing and implementing CI / CD pipelines for data platforms, including experience with Git, YAML, and ARM / Bicep / PowerShell .
    • Data Languages : Expert proficiency in T-SQLand advanced capability in Python (PySpark) for large-scale data transformation.
    • Certifications (Highly Preferred) : Microsoft Certified : Fabric Analytics Engineer (DP-600) or equivalent Azure certification (DP-203)
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