Data Platform Engineer - 100% Remote

Georgia Tek Systems

  • Seattle, WA
  • 1 day ago
  • Remote

    Highlights

    Good understanding of data integration techniques, ETL processes, task/data orchestration with hands-on in AT LEAST one of the tools: Azure Data Factory, Azure Logic App. Familiar with the Azure ecosystem, with a good understanding of areas like Azure Event Grid/Hubs, Azure Apps/Functions, Azure Stream Analytics, etc.

    Numbers & Facts

    LocationSeattle, WA (
    Remote
    )

    Description

    Data Platform Engineer 100% Remote
    LocationSeattle, WA
    Duration 06 Months
    Rate - DOE

    US Citizens and those authorized to work in the U.S are encouraged to apply. We are unable to sponsor at this time.

    Job Description

    Must have
    • Strong in Object Oriented Analysis & Design concepts.
    • Strong in programming languages such as C#, Python, Scala etc. with hands-on in data interchangeable formats like JSON, YMAL.
    • Strong knowledge on PowerShell
    • Good understanding of data integration techniques, ETL processes, task/data orchestration with hands-on in AT LEAST one of the tools: Azure Data Factory, Azure Logic App.
    • Familiar with the Azure ecosystem, with a good understanding of areas like Azure Event Grid/Hubs, Azure Apps/Functions, Azure Stream Analytics, etc.
    • Problem solving and troubleshooting with good comm and continuous learning attribute.

    Good to have
    • Understanding of data modeling & designing principles.
    • Understanding of cloud-native architecture patterns, including micro services, serverless computing, and containerization. Understanding how to design scalable solutions on Azure.
    • Understanding of data governance principles, data privacy regulations, and security best practices. Knowledge of Azure security features, data encryption, and access control mechanisms.
    • Knowledge of DevOps practices and tools such as Azure DevOps, Git, and continuous integration/continuous deployment (CI/CD) pipelines.
    • Knowledge of database management systems, both traditional and cloud-based, like Azure Cosmos DB, Azure SQL Database, etc.

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