Microsoft Fabric Data Engineer

Globalchannelmanagement

  • Newark, New Jersey
  • 3 days ago

    Highlights

    Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark. Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in: Software development and scripting languages.

    Numbers & Facts

    LocationNewark, New Jersey

    Description

    Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure

    Microsoft Fabric Data Engineer requires:

    • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions.
    • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:
    • Software development and scripting languages
    • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).
    • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
    • Knowledge of data modeling and data warehousing concepts.
    • Excellent problem-solving and troubleshooting abilities.
    • Attention to detail and commitment to data accuracy.
    • Experience with cloud-based data migration.
    • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.
    • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.
    • 3+ years of programming experience in Python/Pyspark.
    • 7+ years of experience in Microsoft Azure.
    • Knowledge of Jira, Confluence, SAFe development methodology & DevOps.
    • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

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