? Fabric Data Engineer | AlkemizAlkemiz is hiring a Fabric Data Engineer to join our Data, Engineering & Architecture team. This is a hands-on, execution-focused role where you'll build and maintain the pipelines, Lakehouse objects, and semantic model integrations that power our Microsoft Fabric platform — working to designs and standards set by our Fabric Data Lead.⚠️ Only Immediate Joiners May Apply? What You'll Do: ? Build and maintain Fabric pipelines and notebooks for ingestion and transformation across bronze/silver/gold layers ? Develop and maintain Lakehouse and Warehouse tables, ensuring data quality and following agreed naming/workspace conventions ? Integrate datasets into Power BI semantic models; support and troubleshoot Direct Lake mode implementations ? Work through a structured Code → Review → DevOps → Deployment pipeline ? Monitor and flag CU spikes or performance issues; optimise notebook/pipeline performance under guidance from the Lead ? Fix defects and production hotfixes within agreed SLAs; contribute to root-cause analysis for incidents attributable to own work ? Maintain governance documentation — asset catalogues, ownership registers, and lineage for all owned assets ? Apply data lifecycle/retention rules, row-level security, and sensitivity labelling as defined by the governance framework✅ Must-Have Skills: ? 3–7 years' experience in a data engineering role ? Minimum 1 year of hands-on Microsoft Fabric project experience ? Solid SQL and Python/PySpark proficiency for pipeline and notebook development ? Working knowledge of medallion (bronze/silver/gold) architecture ? Comfortable working within a defined CI/CD and code-review process⭐ Good to Have: ? Relevant Microsoft certification (e.G., DP-700)? Location: Offshore staff-augmentation role — dedicated FTE, working closely with an Australian-based teamIf you enjoy building reliable, well-tested data platforms and want to deepen your expertise in Microsoft Fabric within a structured, governance-driven engineering workplace, we'd love to hear from you.? DM or send your profile to [email protected]

📌 ? Fabric Data Engineer | Alkemiz (Delhi)
🏢 Alkemiz
📍 Delhi