Lead Engineer

2 weeks ago

Bengaluru, India Innover Digital Full time

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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