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MS Fabric - Principal Data Engineer

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Onsite

MS Fabric - Principal Data Engineer

NTT DATA BUSINESS SOLUTIONS

MS Fabric - Principal Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringData ScienceData AnalysisAWSPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Job Summary

We are currently seeking a MS Fabric - Principal Data Engineer to join our team in Bangalore, Karnataka, India.

Responsibilities

  • Fabric Lakehouse - Architect and implement Lakehouse solutions using OneLake, Delta tables, and Fabric pipelines.
  • Power BI Fabric Integration - Enable end-to-end analytics workflows across data engineering, data science, and BI.
  • ETL/ELT Pipelines - Design end-to-end analytics workflows combining OneLake, Data Factory pipelines, and Synapse Data Engineering. Build scalable ingestion and transformation pipelines using Dataflows Gen2, Notebooks, and Pipelines.
  • Cloud Architecture - Leverage Azure services for ingestion, security, governance, and orchestration.
  • Team Leadership - Lead engineering teams, conduct architecture reviews, and ensure delivery quality.
  • Customer Engagement - Drive workshops, solution design sessions, and modernization strategy discussions.

Requirements

  • Microsoft Fabric Expertise: In-depth knowledge of Lakehouses, Warehouses, Direct Lake mode, and Power BI integration.
  • Cloud Infrastructure: Expert-level knowledge of Microsoft Azure (or multi-cloud architectures with AWS/GCP).
  • Data Warehousing: Advanced expertise in Delta Parquet storage format, T-SQL, Spark notebooks, and enterprise ELT.
  • Soft Skills: Outstanding analytical mindset, team-building skills, and structured communication.
  • Strong experience with Azure Synapse, Data Factory, Power BI, and Fabric components.
  • Expertise in SQL, Spark, Delta, and modern data-lake patterns.
  • Proven leadership in large enterprise modernization programs.

Experience Employment Details

  • Total Experience: 12 years
  • Relevant Experience: 7 years in Microsoft Azure Data ecosystems and Microsoft Fabric
  • Location: Hybrid
  • Employment Type: Full-time

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