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    Job · 9764924

    Tata Consultancy Services logo

    Azure Data Engineer - 8th August ( Saturday ) -Virtual Interview

    Tata Consultancy Services · Pune · onsite · Posted 62d ago

    Undisclosed6–11 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role


    Job Requirements*

    The successful candidate will be responsible for

    • Design, build, and maintain data transformation pipelines using AZURE services (Azure Functions, Step Functions .. ) in Python.
    • Design, build, and maintain data transformation pipelines using PySpark and Databricks. Implement and maintain complex calculation engine.
    • Manage efficiently large dataset.
    • Manage SQL database - Postgresql or MongoDB.
    • Implement and maintain complex data calculation formula.
    • Open to collaborate with Software Engineers.
    • Participate in code reviews, design discussions, and software planning.
    • Contribute to automation, testing, and deployment processes.

    Key Responsibilities*

    • Design, build, and maintain data transformation pipelines using AZURE services (Azure Functions, Step Functions .. ) in Python.
    • Design, build, and maintain data transformation pipelines using PySpark and Databricks. Implement and maintain complex calculation engine.
    • Manage effeciently large dataset.
    • Manage SQL database - Postgresql or MongoDB.
    • Implement and maintain complex data calculation formula.
    • Open to collaborate with Software Engineers.
    • Participate in code reviews, design discussions, and software planning.
    • Contribute to automation, testing, and deployment processes.

    Sourced from naukri

    Skills

    PysparkPythonMicrosoft Azure

    About TCS

    Tata Consultancy Services logo

    Tata Consultancy Services

    IT Services & Consulting

    608.0k+

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    1968

    58 years old

    Mumbai, Maharashtra

    India

    About

    An IT services and consulting firm offering business solutions, committed to driving innovation for global enterprises.

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