Fabric Data Engineer | Alkemiz
Alkemiz 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
Positive to Have
Relevant Microsoft certification (e.g., DP-700)
Location: Offshore staff-augmentation role — dedicated FTE, working closely with an Australian-based team
If you enjoy building reliable, well-tested data platforms and want to deepen your expertise in Microsoft Fabric within a structured, governance-driven engineering environment, we'd love to hear from you.
- DM or send your profile to
[email protected]
📌 Fabric Data Engineer | Alkemiz (Delhi)
🏢 Alkemiz
📍 Delhi