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2 Days ago

Microsoft Fabric Data Engineer

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Hyderabad, Telangana, India
Information Technology
Full-Time
CoStrategix

Overview

About the Role:

We are looking for an experienced Fabric Data Engineer to join our data engineering team. You will be responsible for designing, developing, and maintaining data pipelines and data platforms on Azure using modern tools and services including Microsoft Fabric, Azure Data Factory, Python notebooks, Azure Functions, and Data Warehouses. Your focus will be on building scalable, reliable, and secure data workflows that empower analytics and business intelligence.



Key Responsibilitie

  • s:Design and develop scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabri
  • c.Implement data integration from diverse sources into centralized data warehouses or lakehouses (e.g., Fabric OneLake, Synapse
  • ).Build and operationalize Python notebooks for data transformation, enrichment, and machine learning preparatio
  • n.Develop and deploy Azure Function Apps for lightweight compute tasks, API integration, or orchestratio
  • n.Collaborate with analysts and business stakeholders to deliver high-quality, trustworthy data model
  • s.Implement best practices in data governance, security, version control, and CI/CD for data pipeline
  • s.Monitor pipeline performance and ensure high availability and reliability of data service
  • s.Contribute to architecture discussions and continuous improvement of the data platfor

m.


Required Skills & Experi

  • ence:3–5 years of hands-on experience in data engineering with strong Azure exper
  • tise.Proficienc
  • y in:Microsoft Fabric (Data pipelines, lakehouse, shortcuts, etc.) - Must
  • HaveAzure Data Factory (ADF) - Must
  • HavePython notebooks (in Synapse, Fabric, or Azur
  • e ML)Azure Functions / Function
  • AppsData Warehousing concepts and tools (e.g., Synapse SQL, Snowflake, Fabric
  • DWH)Strong SQL skills for data extraction, transformation, and mode
  • ling.Good understanding of modern data architectures: medallion architecture, lakehouse, and data mesh princi
ples.
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