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Role Overview
We are seeking an experienced Microsoft Fabric Data Engineer to join our Data & AI practice. In this role, you will design, build, and operate enterprise-grade data solutions using the Microsoft Fabric unified analytics platform. You will work closely with UK-based client stakeholders and offshore delivery teams to deliver lakehouses, data pipelines, semantic models, and reporting layers that drive measurable business outcomes.

Key Responsibilitie
sData Engineering & Architectur
eDesign and implement end-to-end data solutions on Microsoft Fabric, including OneLake, Lakehouse, Warehouse, and Data Factory components
.Build and optimise ELT/ETL pipelines using Fabric Data Factory, Dataflows Gen2, and Spark notebooks
.Architect Delta Lake table structures, manage schema evolution, and enforce data quality frameworks
.Implement medallion architecture (Bronze / Silver / Gold) aligned to client data domains such as Finance, HR, and Supply Chain
.Integrate Microsoft Fabric with Azure Data Lake Storage Gen2, Azure SQL, Dynamics 365, and third-party ERP/CRM systems

.




Analytics & Reporti
ngDevelop semantic models and DirectLake datasets within Fabric for Power BI consumptio
n.Build executive-level dashboards and self-service reports aligned to F&A; KPIs (DSO, DPO, AR ageing, AP cycle time, P&L; variance
).Collaborate with business analysts and finance stakeholders to translate requirements into scalable analytical model

s.
Platform Operations & Governa
nceConfigure Fabric capacities, workspaces, and access controls in alignment with client security and data governance standar
ds.Implement row-level security (RLS), column-level security, and sensitivity labels using Microsoft Purview integrati
on.Monitor pipeline performance, manage SLAs, and resolve incidents within agreed ITSM framewor
ks.Support capacity management and cost optimisation across Fabric SK

Us.
Client Engagement & Deli
veryParticipate in client-facing workshops, design sessions, and sprint review

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📌 Azure Fabric Data Engineer Mumbai
🏢 Tech Mahindra
📍 Mumbai