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Senior Fabrics developer

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Onsite

Senior Fabrics developer

NTT DATA BUSINESS SOLUTIONS

Senior Fabrics developer

Skills

SQL QueriesData EngineeringPythonData AnalysisPySparkCompliancePower 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 Senior Fabrics developer to join our team in Bangalore, KarnAtaka (IN-KA), India (IN).

Responsibilities

  • Design, develop, and maintain enterprise-scale data platforms using Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, and Data Engineering capabilities.
  • Build and optimize data ingestion, transformation, and orchestration pipelines using Fabric Data Factory, Dataflows, Notebooks, and Spark.
  • Develop scalable ETL/ELT solutions using Python, PySpark, SQL, and Spark technologies to process large volumes of structured and unstructured data.
  • Design and implement Lakehouse architectures, Medallion frameworks (Bronze, Silver, Gold), and dimensional data models to support analytics and reporting requirements.
  • Integrate data from multiple sources including Azure services, databases, APIs, SaaS applications, and cloud platforms while ensuring reliability and performance.
  • Develop and optimize Fabric Warehouses, Semantic Models, and Power BI datasets to enable self-service analytics and business intelligence solutions.
  • Implement data governance, security, lineage, metadata management, and compliance controls using Microsoft Purview and Fabric governance capabilities.
  • Establish CI/CD pipelines, deployment automation, monitoring, alerting, and operational best practices to support enterprise-grade data solutions.
  • Collaborate with architects, business stakeholders, data engineers, and analytics teams to translate business requirements into scalable technical solutions.
  • Provide technical leadership, perform code reviews, mentor junior developers, and drive adoption of best practices across Microsoft Fabric, data engineering, and modern analytics platforms.

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