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Drevol

Microsoft Fabric Engineer role

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Job Description

Microsoft Fabric Engineer

Role Summary

We are seeking a Microsoft Fabric Engineer to design, build, and optimize scalable enterprise-grade data platforms using Microsoft Fabric. This role will focus on implementing Lakehouse architectures, unified analytics, and modern data engineering pipelines within the Microsoft Fabric ecosystem to enable governed, high-quality, and analytics-ready data solutions.

Key Responsibilities

  • Lead the design and implementation of Microsoft Fabric Lakehouse architecture using Medallion (BronzeSilverGold) data modeling patterns.
  • Build and optimize data pipelines using Fabric Data Pipelines and Dataflow Gen2.
  • Develop scalable ELT/ETL workflows within Microsoft Fabric to ingest and transform data from multiple enterprise systems.
  • Architect and implement unified data platforms using Fabric Lakehouse, Fabric Warehouse, and OneLake.
  • Integrate multiple data sources (finance, operations, HR, and other enterprise systems) into curated and analytics-ready layers.
  • Design and manage Power BI Semantic Models connected to Fabric Lakehouse and Fabric Warehouse.
  • Implement data quality checks, monitoring, and automated alerting mechanisms.
  • Establish data governance, security, and compliance using RBAC, sensitivity labels, and data protection features within Fabric.
  • Implement CI/CD pipelines using Azure DevOps and Git for Fabric artifacts and deployment workflows.
  • Collaborate with business stakeholders to translate data requirements into scalable data solutions.
  • Provide technical leadership and mentorship to data engineers and analytics teams.

Required Skills & Experience

  • 2+ years of experience in Data Engineering / Analytics Engineering.
  • Strong hands-on experience with Microsoft Fabric, including:
  • Fabric Lakehouse
  • Fabric Warehouse
  • OneLake
  • Data Pipelines
  • Dataflow Gen2
  • Experience building modern data platforms using Lakehouse architecture.
  • Strong expertise in SQL and Python for data transformation and processing.
  • Experience building Power BI Semantic Models and enterprise reporting solutions.
  • Experience implementing Medallion architecture (BronzeSilverGold).
  • Experience with CI/CD pipelines using Azure DevOps and Git.
  • Understanding of data governance, security, and enterprise data management practices.

Preferred / Nice to Have

  • Experience integrating Microsoft Fabric with Azure services.
  • Exposure to automation tools such as PowerApps and Power Automate.
  • Experience working in enterprise or regulated data environments.

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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About Company

Job ID: 144565383