Microsoft Fabric Engineer

D

Data Piper

Microsoft Fabric Engineer

Pleasanton, CA
Full Time
Paid
  • Responsibilities

    Job Description

    We are seeking a skilled and experienced Microsoft Fabric Engineer to join our data engineering team. The ideal candidate will have a strong background in designing, developing, and maintaining data solutions using Microsoft Fabric , including experience across key workloads such as Data Engineering , Data Factory , Data Science , Real-Time Analytics , and Power BI. This role requires a deep understanding of Synapse Data Warehouse , OneLake , Notebooks , Lakehouse architecture , and Power BI integration within the Microsoft ecosystem.

    Key Responsibilities

    • Design and implement scalable and secure data solutions using Microsoft Fabric.

    • Build and maintain Data Pipelines using Dataflows Gen2 and Data Factory (Fabric).

    • Work with Lakehouse architecture and manage datasets in OneLake.

    • Develop and optimize notebooks (PySpark or T-SQL) for data transformation and processing.

    • Collaborate with data analysts and business users to create interactive dashboards and reports using Power BI (within Fabric).

    • Leverage Synapse Data Warehouse and KQL databases for structured and real-time analytics.

    • Monitor and optimize performance of data pipelines and queries.

    • Ensure data quality, security, and governance practices are adhered to.

    • Stay current with Microsoft Fabric updates and roadmap, recommending enhancements or best practices.

    Required Skills and Qualifications

    • 3+ years of hands-on experience with Microsoft Fabric or similar tools in the Microsoft data stack.

    • Strong proficiency with:

      • Data Factory (Fabric)

      • Synapse Data Warehouse / SQL Analytics Endpoints

      • Power BI integration and DAX

      • Notebooks (PySpark, T-SQL)

      • Lakehouse and OneLake

    • Solid understanding of data modeling, ETL/ELT processes, and real-time data streaming.

    • Experience with KQL (Kusto Query Language) is a plus.

    • Familiarity with Microsoft Purview, Azure Data Lake, or Azure Synapse Analytics is advantageous.

  • Qualifications

    Qualifications

    Microsoft Fabric, Onelake, Data Factory, Data Lake, DataMesh

    Additional Information

    All your information will be kept confidential according to EEO guidelines.