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Professional Data Engineer

Summary

Builds and maintains data pipelines and reporting solutions using Microsoft Azure and Fabric tools for enterprise clients.

You will be working with enterprise clients on modern Microsoft data platforms. The Data Engineering Consultant will design and build data pipelines and reporting-ready data solutions across cloud and on-premise environments.

What you will do

  • Build and maintain data pipelines using Azure Data Factory, Azure SQL, and SSIS

  • Develop data models and reporting solutions using Microsoft Fabric and related Microsoft tools

  • Integrate data from cloud and on-premise sources

  • Apply DevOps practices such as CI/CD and version control to data projects

  • Perform data validation and ensure data accuracy and completeness

  • Prepare technical documentation, including data flows and operational guides

  • Manage assigned work items throughout the project lifecycle

What we are looking for

  • Professional: 2-4 years of experience

  • Other levels: Professional: 2-4 years of experience, Principal: 8+ years of experience

  • Strong hands-on experience with Azure Data Factory, Azure SQL, and SSIS

  • Working knowledge of Microsoft Fabric, SSAS and SSRS

  • Experience with data integration across cloud and on-premise environments

  • Familiarity with CI/CD and source control for data pipelines

  • Strong technical documentation and data validation skills

  • Work setup: Hybrid, Day Shift

See also

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