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Senior Microsoft Fabric Data Engineer
Job Description & How to Apply Below
As a Senior Data Engineer and Microsoft Fabric Subject Matter Expert, you will design, implement, and optimize enterprise-scale data platforms. The work includes Azure Data Factory, SQL, dbt, PySpark, Spark Notebooks, and Fabric Data Pipelines. You will also guide Fabric adoption across architecture and analytics stakeholders.
Key Responsibilities:
Design scalable pipelines across One Lake, Lakehouse, and Data Warehouse
Provide technical leadership and mentorship on Microsoft Fabric engineering
Develop and optimize ELT and ETL pipelines
Implement Bronze, Silver, and Gold Medallion Architecture
Optimize Fabric capacity utilization, performance, and governance
Requirements:
Eight or more years of Data Engineering experience
Two or more years delivering enterprise Microsoft Fabric solutions
Expertise with One Lake, Lakehouse, Spark, PySpark, and SQL
Strong enterprise ELT and ETL design experience
Experience with Azure Dev Ops, Git, governance, and lineage
Lead Microsoft Fabric engineering at Central 1 through scalable architecture, optimized pipelines, governance, and enterprise data platforms.
Position Requirements
10+ Years
work experience
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