Fabric Data Engineer at NTT DATA, Inc. in Pune, IN-MH, India

Job description

• The Fabric Data Engineer will be responsible for administering Microsoft Fabric environments, including tenant management, workspace and capacity optimisation, security roles, and troubleshooting. The role requires strong SQL skills, experience with incremental loading, watermarks, and SCD Type 1/2. Proficiency in Power BI, Power Query/M, and Power Automate is essential, along with knowledge of Lakehouse, Warehouse, OneLake, dataflows, metadata-driven pipelines, and Dev–QA–Prod deployments. Candidates should have 7–10 years of relevant experience. Familiarity with PySpark, Delta Lake, Git, CI/CD, Microsoft Purview, and data governance is advantageous. The position is based in Pune, India, and offers the opportunity to work within a leading technology services provider.
• Req ID: 391052
• NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
• We are currently seeking a Fabric Data Engineer to join our team in Pune, Mahārāshtra (IN-MH), India (IN).

Responsibilities

• Administering Microsoft Fabric environments, including tenant management, workspace and capacity optimisation, security roles, and troubleshooting.

Requirements

• Strong hands-on knowledge of Microsoft Fabric administration, including tenant settings, workspace and capacity management, security roles, permissions, service principals, gateways, monitoring and troubleshooting.
• Strong SQL is essential, incremental loading, watermarks and SCD Type 1/Type 2.
• You should understand Lakehouse, Warehouse, OneLake, shortcuts, Dataflows Gen2, metadata-driven pipelines, audit/error handling and Dev–QA–Prod deployments.
• Power BI skills should include semantic modelling, Direct Lake, DirectQuery, RLS, DAX and refresh troubleshooting. Power Query/M and Power Automate are also necessary for transformations, query folding, pipeline automation, API calls, authentication and error handling.
• Good to have - Working knowledge of PySpark, Delta Lake optimization, notebooks, partitioning, Z-ordering and liquid clustering. Fabric REST APIs, PowerShell or Python are useful for automating administration, permissions, monitoring and deployments. Knowledge of Git, CI/CD, Microsoft Purview, data governance, sensitivity labels, lineage.
• Exp range -: 7-10 yrs

Skills

Required

• Microsoft Fabric administration
• SQL
• Power BI
• Power Query/M
• Power Automate
• Lakehouse
• Warehouse
• OneLake
• Dataflows Gen2
• metadata-driven pipelines
• Dev–QA–Prod deployments

Preferred

• PySpark
• Delta Lake optimization
• notebooks
• partitioning
• Z-ordering
• liquid clustering
• Fabric REST APIs
• PowerShell