Senior Data Engineer – Microsoft Fabric
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Job Description
Data Engineer building Microsoft Fabric pipelines, Lakehouses, and curated datasets. Supporting analytics, reporting, and AI use cases for Expleo, a global engineering and consulting provider.
Responsibilities:
- Design and develop data solutions within Microsoft Fabric
- Build and maintain Lakehouse architectures using OneLake
- Develop scalable data pipelines using Fabric Data Factory
- Integrate data from APIs, databases, files, ERP/CRM platforms, and cloud applications
- Build data transformations using SQL, Python, PySpark, and Spark
- Create curated datasets for reporting, analytics, and AI
- Implement data quality and validation controls
- Monitor and optimize pipeline performance, reliability, and cost
- Support CI/CD, testing, and production deployments
Requirements:
- Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Fabric Data Factory, Fabric Notebooks, Dataflows Gen2, and Fabric Warehouse
- Advanced SQL skills
- Practical experience with Python and PySpark for data engineering and analytics workloads
- Strong understanding of ETL/ELT processes and enterprise data pipeline design, development, and optimization
- Solid knowledge of Data Warehouse and Data Lake architectures, data modeling principles, and modern data platforms
- Experience with Azure services
- Experience with Git-based development workflows in collaborative environments
- Experience with Azure Data Factory and/or Azure Databricks
- Knowledge of Power BI, including Semantic Models and reporting solutions
- Exposure to Microsoft Purview, Real-Time Analytics, and Event Streaming capabilities
- Understanding of Medallion Architecture and Infrastructure as Code (IaC) concepts
- Relevant Microsoft Fabric certifications, such as DP-600 or DP-700, are considered a strong advantage
Benefits:
- Remote workplace
- CIM/B2B collaboration
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