Microsoft Fabric Data Engineer
Abhinash GAustraliaMIDPosted 1h ago
Microsoft FabricData EngineeringData FactoryLakehouseData WarehouseOneLakeFabric NotebooksDataflows Gen2SQLPythonPySparkETLELTDelta LakeData IntegrationData TransformationPower BISemantic ModelsAzure Data FactoryAzure DatabricksReal-Time IntelligenceCI/CDAzure DevOps
About the Role
We are looking for an experienced Microsoft Fabric Data Engineer to design, develop and maintain modern data engineering solutions using Microsoft Fabric. The ideal candidate should have strong hands-on experience in building scalable data pipelines, implementing Lakehouse architectures and developing enterprise-grade data solutions.
Key Responsibilities
• Design, develop and maintain data pipelines using Microsoft Fabric.
• Build and manage Fabric Lakehouse and Data Warehouse solutions.
• Develop and optimise ETL/ELT pipelines using Fabric Data Factory.
• Work with OneLake, Dataflows Gen2 and Fabric Notebooks.
• Implement data transformations using Python, PySpark and SQL.
• Develop and optimise solutions using Fabric Spark and Delta Lake.
• Integrate data from multiple sources including APIs, databases and cloud platforms.
• Implement data quality, validation, security and governance practices.
• Optimise pipeline performance and ensure data reliability.
• Collaborate with business and technical teams to deliver data solutions.
Requirements
• Strong hands-on experience with Microsoft Fabric.
• Microsoft Fabric Data Engineering and Data Factory.
• Lakehouse and Data Warehouse architecture.
• OneLake, Fabric Notebooks and Dataflows Gen2.
• Strong SQL and Python/PySpark programming.
• ETL/ELT pipeline development.
• Delta Lake and data modelling.
• Data integration, transformation and performance optimisation.