Fabric Data Engineer
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Job Description
Senior Fabric Data Engineer designing and optimizing enterprise data solutions using Microsoft Fabric. Collaborating with teams to modernize data platforms and providing analytics solutions.
Responsibilities:
- Design, build, and optimize enterprise-grade data solutions using Microsoft Fabric.
- Collaborate with cross-functional teams to deliver scalable, governed analytics solutions.
- Mentor junior engineers and improve engineering best practices.
- Participate in modernizing data platforms and work on enterprise analytics projects.
Requirements:
- 7–10+ years of experience in Data Engineering.
- Strong hands-on experience with Microsoft Fabric, including at least one production implementation.
- Design and development of Lakehouse architectures using Microsoft Fabric, including OneLake, Delta tables, and Medallion architecture.
- Development of Dataflows Gen2, Notebooks (PySpark / SQL), and Pipelines for data ingestion, transformation, and orchestration.
- Implementation of end-to-end data pipelines using Data Factory (Fabric), Spark notebooks, and streaming workloads.
- SQL (Advanced/Expert) and PySpark / Spark SQL.
- Design of high-performance data pipelines for batch and real-time workloads.
- Development of semantic models and governed datasets to support enterprise analytics.
- Collaboration with Power BI developers to design DAX measures, relationships, and optimized data models.
- Implementation of Git integration and deployment pipelines for Fabric workloads.
- Experience with Eventstream, Real-Time Hub, or KQL is nice to have.
- Experience implementing data governance frameworks, lineage, cataloging, and metadata management using tools such as Purview is nice to have.
- Advanced English (required).
- Strong collaboration experience working with cross-functional teams, including Data Scientists, BI Engineers, Domain Owners, and Business Stakeholders.
- Ability to mentor junior engineers and contribute to engineering best practices.
- Experience supporting modern data platform initiatives and contributing to Centers of Excellence, reusable frameworks, and architectural standards is nice to have.
- Experience with the Azure Data Platform ecosystem (ADLS, Azure Data Factory, Synapse, Databricks) is nice to have.
Benefits:
- WELLNESS: We promote personal, professional, and financial well-being.
- LET’S RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains.
- WE CREATE NEW THINGS: Freedom and support to design innovative data solutions.
- WE GROW TOGETHER: Participation in cutting-edge, multinational technology projects with diverse teams.
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