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  • Senior Data Engineer
    Data

    Senior Data Engineer

    Kraków
    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

      Machine Learning

      advanced

      Data

      regular

      Python/Golang

      regular

    Job description

    Online interview
    Friendly offer

    The client is focused on becoming a data-driven digital leader, aiming to create measurable value both internally and for its customers. This transformation demands the development of world-class analytics products and services, embedding them into business processes and customer-facing solutions. To achieve these goals, the client needs experts with a wide range of skills in analytics and technology.


    The Data Engineer will be responsible for designing and implementing scalable data pipelines for machine learning models, using GCP tools like Dataflow, Dataproc, and BigQuery.


    Must-Have Skills:


    • Design and Develop Data Pipelines: Create efficient and scalable data pipelines using GCP services such as Dataflow (Apache Beam), Dataproc (Apache Spark), and Pub/Sub.
    • Data Storage Solutions: Implement and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL.
    • Data Analysis and Reporting: Optimize SQL queries for data analysis and reporting in BigQuery.


    Nice-to-Have:


    • Experience with GCP Vertex AI for machine learning model deployment

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