MS Fabrics Data engineer

Lead MS Fabrics DataEngineerWe are looking for aSenior / Lead Data Engineer with strong Microsoft Fabric experienceto design, build, and lead modern data platforms. The ideal candidate will have hands-on expertise inFabric Lakehouse architecture, OneLake, Spark/PySpark, and end-to-end data pipeline development , along withtechnical leadership experiencein driving data engineering best practices.This is apure development and architecture role , not a support or reporting-only position.Key Responsibilities Technical & Development Responsibilities Design and implementend-to-end data solutions using Microsoft Fabric Architect and manageLakehouse solutionsleveragingOneLake Build and optimize data models usingDelta Parquet format Develop scalable data transformations usingSpark / PySpark Create and manageFabric Notebooksfor data engineering workloads Build orchestration usingFabric PipelinesandDataflows Gen2 Implement data ingestion usingData Factory concepts Work withKusto Query Language (KQL)for analytics and real-time insights Write and optimize complexT-SQL queries Integrate external systems viaAPIs Automate workflows usingLogic AppsandPower Automate Leadership & Ownership Lead data engineering initiatives and guide junior engineers Review designs, code, and performance optimizations Define data engineering standards, best practices, and frameworks Collaborate with architects, product owners, and stakeholders Take ownership of data reliability, scalability, and performance DevOps & CI/CD ImplementCI/CD pipelines for data workflows Version control usingGit UseAzure DevOpsfor backlog, pipeline, and release management Automate deployments across environments (Dev / QA / Prod)Required Skills (Mandatory) Microsoft Fabric(Lakehouse, OneLake) Delta Parquet Spark / PySpark Fabric Notebooks Fabric Pipelines Dataflows Gen2 Kusto Query Language (KQL) Data Factory concepts T-SQL Git & Azure DevOps CI/CD for data engineering API integrations Logic Apps & Power AutomateGood to Have Experience migrating fromAzure Synapse / Data Factory to Fabric Real-time analytics and streaming data experience Performance tuning and cost optimization in Fabric Exposure to Power BI semantic model

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