Azure Data engineer

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Job Summary

Fabric Data Engineer

Microsoft Fabric

Azure data services

Key Responsibilities

• Understand business and technical requirements through refinement and planning meetings
• Create technical design documents and write user stories for the product backlog
• Lead and guide a small team to meet sprint commitments
• Design and develop robust data pipelines using Azure Data Factory, Spark SQL, PySpark, and Python
• Implement ETL / ELT processes for structured and unstructured data sources
• Optimize queries and data models in Azure Synapse Analytics and OneLake
• Build and maintain Lakehouse and Data Warehouse architectures using Microsoft Fabric
• Develop interactive dashboards and reports using Power BI, leveraging DirectLake mode
• Integrate Microsoft Purview for data governance, lineage, and compliance
• Collaborate with DevOps teams to automate deployments using Azure DevOps and CI/CD pipelines
• Ensure data security, performance tuning, scalability, and reliability across large datasets
  

Required Skills

• Strong hands-on experience with Microsoft Fabric
• Expertise in Azure Data Factory (ADF), Spark SQL, PySpark, and Python
• Solid experience in ETL / ELT development
• Hands-on experience with Azure Synapse Analytics and OneLake
• Experience building Lakehouse and Data Warehouse solutions
• Strong experience with Power BI, including DirectLake mode
• Experience with Microsoft Purview for data governance and compliance
• Working knowledge of Azure DevOps, CI/CD pipelines, and deployment automation
• Strong understanding of data security, performance optimization, and large-scale data processing
  

Desired Skills

• Experience working in Agile / Scrum environments
• Exposure to enterprise-scale data platforms
• Ability to mentor junior engineers and provide technical leadership
  

Soft Skills

• Strong written and verbal communication skills
• Excellent interpersonal, organizational, and time management skills