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Azure Fabric Engineer

We are urgently hiring a highly skilled Azure Fabric Engineer for a critical role. The ideal candidate should have hands-on experience with Microsoft Fabric and a strong grasp of the Azure data ecosystem. This is a senior-level role requiring expertise across Fabric architecture, data engineering, and Azure platform integration.

Fabric Engineer

<h3><strong>Job Title</strong>: Azure Fabric Engineer</h3><p><strong>Location</strong>: Mumbai, Chennai, Bangalore (Onsite)</p><p><strong>Experience</strong>: 6–10 Years</p><p><strong>Urgency</strong>: High-Priority Requirement</p><h3><strong>Job Description</strong>:</h3><p>We are urgently hiring a highly skilled&nbsp;<strong>Azure Fabric Engineer</strong>&nbsp;for a critical role. The ideal candidate should have hands-on experience with Microsoft Fabric and a strong grasp of the Azure data ecosystem. This is a senior-level role requiring expertise across Fabric architecture, data engineering, and Azure platform integration.</p><h3><strong>Key Responsibilities</strong>:</h3><h4><strong>1. Microsoft Fabric Expertise</strong>:</h4><ul><li>Deep knowledge of&nbsp;<strong>Microsoft Fabric Platform</strong>&nbsp;and architecture: OneLake, DirectLake, Lakehouse, Warehouse.</li><li>Proficient in&nbsp;<strong>OneLake</strong>: workspace management, shortcuts, file formats (Parquet, Delta), and source mounting.</li><li>Experience with&nbsp;<strong>Dataflows Gen2</strong>, Pipelines, Notebooks, and Semantic Models.</li><li>Understanding of&nbsp;<strong>Fabric capacities and licensing</strong>.</li><li>Capable of configuring and managing&nbsp;<strong>Spark workloads</strong>&nbsp;including node sizing, concurrency, and scaling.</li></ul><h4><strong>2. Data Engineering</strong>:</h4><ul><li>Hands-on with&nbsp;<strong>Lakehouses</strong>&nbsp;and&nbsp;<strong>Notebooks</strong>&nbsp;using&nbsp;<strong>PySpark</strong>&nbsp;and&nbsp;<strong>SQL</strong>&nbsp;for data transformation and cleansing.</li><li>Data ingestion/transformation using Pipelines: joins, filters, aggregations, UDFs.</li><li>Efficient handling of&nbsp;<strong>large-scale datasets</strong>.</li><li>Expertise in&nbsp;<strong>Delta Lake</strong>&nbsp;format and building Delta tables.</li><li>Implementation of&nbsp;<strong>metadata-driven data ingestion</strong>.</li></ul><h4><strong>3. Data Integration &amp; ETL/ELT</strong>:</h4><ul><li>Experience working with&nbsp;<strong>Dataflows Gen2</strong>&nbsp;and&nbsp;<strong>Fabric Pipelines</strong>.</li><li>Configuring&nbsp;<strong>pipeline triggers</strong>, activities, dependencies, and monitoring.</li><li>Hands-on with connectors: Azure SQL, Blob Storage, Dynamics 365, Salesforce, and more.</li><li>Scheduling and&nbsp;<strong>monitoring data refreshes</strong>.</li></ul><h4><strong>4. Azure Ecosystem Experience</strong>:</h4><ul><li>Proficiency with&nbsp;<strong>Azure Data Lake</strong>,&nbsp;<strong>Synapse Analytics</strong>, and&nbsp;<strong>Azure SQL Database</strong>.</li><li>Integration with&nbsp;<strong>Azure Active Directory</strong>&nbsp;and implementation of security models.</li></ul><h3><strong>Additional Information</strong>:</h3><ul><li>This is a&nbsp;<strong>very critical role</strong>&nbsp;and requires immediate onboarding.</li><li>Only candidates with&nbsp;<strong>strong practical experience</strong>&nbsp;in Microsoft Fabric and related Azure technologies should apply.</li><li>Budget: 25 LPA (max)</li></ul><p><br></p>