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  • Data Engineer (Kafka)
    Data

    Data Engineer (Kafka)

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote
    Link Group

    Link Group

    Hundreds of IT opportunities are waiting for you—let’s make it happen! Since 2016, our team of tech enthusiasts has been building exceptional IT teams for Fortune 500 companies and startups worldwide. Join impactful projects in BFSI, CPG, Industrial, and Life Sciences & Healthcare industries. Work with cutting-edge technologies like Cloud, Business Intelligence, Data, and SAP. Unlock your potential, grow your skills, and collaborate with top global clients. Ready for your next big career move? Let’s link with us!

    Company profile

    Tech stack

      Apache Kafka

      advanced

      PySpark

      advanced

      Azure

      advanced

      SQL

      advanced

      Python

      advanced

    Job description

    Online interview

    Your main responsibilities will involve:

    • Designing, developing, and maintaining the Data Layer for our new solution.
    • Sourcing data from legacy solutions using cloud-based architecture.
    • Utilizing SQL Server, Azure Functions, Azure Web Apps in the solution's architecture.
    • Developing robust and efficient code in Python, with extensive use of PySpark and other relevant frameworks.


    The ideal candidate:

    • Has hands-on experience with Kafka and SQL.
    • Is familiar with Azure
    • Is proficient in Python, with extensive experience in PySpark.
    • Has solid experience in data modeling and implementing Data Layers for solutions.
    • Is an innovative thinker who understands the transformative role of IT in our organization.
    • Thrives in a fast-paced environment and enjoys learning new technologies.
    • Can communicate complex IT related issues in an understandable manner.

    Is proficient in written and spoken English.


    It is an advantage if you have experience with:

    • Data Bricks and Delta Tables
    • Experience building data-intense application
    • DevOps/git/Agile (Continuous integration / Continuous delivery)

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