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Fabric Developer

India, Remote · Job Posted April 23, 2026
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Job Description

The Fabric Developer role involves designing, developing, and maintaining SQL-based data transformations and models, building Azure Data Factory pipelines, and enhancing data solutions using Microsoft Fabric components. Candidates should have strong SQL and Azure Data Factory experience, along with knowledge of data modeling and ETL processes. The position requires collaboration with business analysts and stakeholders to ensure data quality and performance optimization.

Job Responsibility

  • Design, develop, and maintain SQL-based data transformations and models
  • Build and manage ADF pipelines for ingesting data from multiple source systems
  • Develop and enhance data solutions using Microsoft Fabric components
  • Implement end-to-end data ingestion, transformation, and orchestration workflows
  • Ensure data quality, accuracy, and consistency across insurance data sources
  • Optimize SQL queries and pipelines for performance and scalability
  • Collaborate with business analysts and stakeholders on insurance reporting needs
  • Support data validation, reconciliation, and issue resolution activities
  • Participate in code reviews, deployments, and production support
  • Continuously improve data architecture aligned with enterprise and insurance standards
  • Shift Time 2-11pm, all customer calls are video calls

Requirements

  • Strong hands-on experience in SQL (T SQL) for data analysis and transformations
  • Proven experience with Azure Data Factory (ADF) pipelines, triggers, and integrations
  • Practical knowledge of Microsoft Fabric (Lakehouse, Data Pipelines, Warehouses)
  • Experience building and optimizing ETL / ELT data pipelines
  • Solid understanding of data modeling, dimensional models, and schemas
  • Experience working with Azure Data Lake, OneLake, and cloud storage
  • Familiarity with insurance domain data (claims, policy, customer, financials) – preferred
  • Ability to handle large-scale data processing and performance tuning
  • Experience with Agile delivery models and DevOps practices
  • Strong analytical skills and ability to collaborate with data engineers and business teams

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