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Hyderฤbฤd, Indiafull_timeVerifiedPosted 10 Aug 2026

About the role

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿญ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿญ๐Ÿฑ-๐Ÿฎ๐Ÿฌ ๐—Ÿ๐—ฃ๐—”)

Experience: 7+ yrs

Location: Hyderabad, Pune, Bengaluru

Job Type: Full-time

We are looking for an experiencedย Microsoft Fabric professionalย with 7+ years of experience in data engineering, analytics, and modern data platform technologies. The ideal candidate will have strong hands-on expertise inย Microsoft Fabricย and be capable of designing, developing, and optimizing scalable enterprise data solutions.

This role will involve working across data ingestion, transformation, analytics, reporting, and platform optimization while partnering with business and technology teams to deliver reliable, high-performing data solutions.

Requirements

Key Responsibilities

  • Design, develop, and implement scalable data solutions usingย Microsoft Fabric.
  • Work with Fabric components includingย OneLake, Lakehouse, Data Factory, Data Warehouse, and Power BI.
  • Build robust data ingestion and transformation pipelines from multiple data sources.
  • Develop and optimize data models to support analytics and reporting requirements.
  • Implement efficient ETL/ELT processes while maintaining data quality and reliability.
  • Integrate Microsoft Fabric with enterprise applications, databases, APIs, and cloud data sources.
  • Monitor and optimize data pipelines, workloads, and platform performance.
  • Develop solutions that support real-time and batch data processing requirements.
  • Implement data governance, security, access controls, and quality standards.
  • Collaborate with business analysts, data scientists, BI developers, architects, and engineering teams.
  • Translate business requirements into scalable technical data solutions.
  • Troubleshoot data, pipeline, performance, and integration issues.
  • Establish best practices for development, deployment, monitoring, and documentation.
  • Contribute to migration and modernization initiatives involving legacy data platforms.
  • Stay current with Microsoft Fabric capabilities and emerging data engineering practices.

What Makes You a Great Fit

  • 7+ years of experienceย in data engineering, analytics, BI, or related technology roles.
  • Strong hands-on experience withย Microsoft Fabricย and its core capabilities.
  • Good understanding ofย OneLake, Lakehouse, Data Factory, Data Warehouse, and Power BI.
  • Strong SQL and data modelling skills.
  • Experience developing and managing enterprise-grade ETL/ELT pipelines.
  • Knowledge of cloud-based data platforms and modern data architecture.
  • Experience with data integration, transformation, performance optimization, and troubleshooting.
  • Understanding of data governance, security, quality, and access management.
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills with the ability to work effectively with technical and business stakeholders.
  • Ability to work independently while collaborating effectively within cross-functional teams.
  • Experience with data platform modernization or migration projects is an advantage.
  • Microsoft certifications related toย Fabric, Azure Data Engineering, or Power BIย would be an added advantage.

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