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Microsoft Fabric Data Engineer

LanceSoft

Piscataway · On-site Contract 4d ago

About the role

Role

Microsoft Fabric Data Engineer

Location

Piscataway, NJ (Onsite)

Hiring Mode

Contract 6+ months

Experience

Local Candidates available for In-Person Interview Only with 9+ Years of Experience.

Competencies

4-6+ years experience

Pay

$53/Hr.

Essential Skills

  • Strong experience in Microsoft Fabric (Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Analytics, and Power BI integration).
  • Hands-on experience with Data Pipelines, Dataflows, and Lakehouse concepts.
  • Expertise in Azure Synapse, Azure Data Lake Storage (ADLS), and Azure SQL.
  • Proficiency in Data Modeling, ETLELT design, and Data Integration processes.
  • Good understanding of Real-Time Data Streaming (using Event Hubs, IoT Hub, or Kusto).
  • Experience with bulk data processing and performance optimization for large datasets.
  • Proficiency in SQL and Python (for data transformations or orchestration logic).
  • Understanding of data governance, security, and compliance in Microsoft Fabric.
  • Familiarity with Power BI for analytics and visualization.
  • Experience with CICD pipelines for Fabric (using Azure DevOps or GitHub Actions)
  • Strong hands-on experience building Fabric data pipelines, dataflows, and data lakehouses.
  • Experience with Real-Time data ingestion (Eventstreams, Kusto queries).
  • Ability to handle large-scale data ingestion and bulk data transformations.
  • Experience integrating Fabric Data Warehouse with Power BI or downstream systems.
  • Familiarity with version control (Git) and working in AgileScrum environments.
  • Solid understanding of data quality, validation, and error handling processes.
  • Local Candidates available for In-Person Interview Only with 9+ Years of Experience.

Skills

ADLSAzure DevOpsAzure SynapseAzure SQLEvent HubsEventstreamsFabric Data WarehouseGitGitHub ActionsIoT HubKustoMicrosoft FabricPower BIPythonSQLReal-Time AnalyticsReal-Time Data Streaming

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