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Fabric Developer

India, Remote · Job Posted March 20, 2026
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Job Description

The Fabric Developer role involves designing and maintaining SQL-based data transformations, managing Azure Data Factory pipelines, and optimizing data solutions using Microsoft Fabric. Candidates should have strong SQL and Azure Data Factory experience, with a focus on data quality and collaboration with stakeholders. This position offers the opportunity to work in a dynamic environment with a focus on innovation and growth.

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
  • 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

Nice to have

Familiarity with insurance domain data (claims, policy, customer, financials)

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