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  • Data Platform Engineer
    Data

    Data Platform Engineer

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B, Permanent
    Operating mode
    Remote
    Schenker Technology Center Warsaw

    Schenker Technology Center Warsaw

    We are a team of technology lovers who deliver top-quality digital solutions for DB Schenker - a global logistics market leader. 85% of our projects are focused strictly on development, and only a minority relate to maintenance. Joining us, you will deal with matters that already shape the logistics industry's future and challenge the existing status quo. Chatbots, IoT, RPA, and Blockchain are just a few examples. You will have a chance to work with a diverse technology stack and discover our unique Agile approach to the development process.

    Company profile

    Tech stack

      DevOps tools

      advanced

      Qlik-Replicate

      regular

      Git

      regular

      Jenkins

      regular

      Oracle Golden Gate

      regular

      Oracle DB

      regular

      Azure DevOps

      regular

    Job description

    Online interview
    Friendly offer

    The Global Data & AI department is on a mission to turn DB Schenker into a data-driven company. Our Data Engineering team focuses on designing advanced analytics solutions to solve potential business use cases in logistics using Machine Learning, AI techniques, Data Visualization tools and Big Data technologies in cooperation with our Software Engineering team, internal business units and global IT. We are looking for a talented Data Engineer who can contribute to our projects with solid data intuition, hands-on problem-solving skills, engineering mindset and eagerness to learn about our logistics business data.



    Your tasks:


    • Support to existing Data capture solution and be an active Development member of migration to new technology.
    • Analyze data and design, code, test, debug, automate, document, and maintain data solutions for multiple platforms.
    • Support in DevOps implementation.
    • Support in optimizing release process which include shell scripting, automation thought process.



    Requirements:


    • Proactive DevOps automation mindset.
    • Relevant experience in release process, Shakedown, POSIX systems (e.g., Linux) and the command-line terminals.
    • Relevant experience knowledge in Oracle Golden Gate, Oracle DB (AWS-RDS) and its automation.
    • Experience with relational databases (Oracle, PostgreSQL, Snowflake) and knowledge of SQL.
    • Experience in creation of task and monitoring dashboard of the platforms like OGG, Qlik-Replicate, Oracle etc.
    • Experience in delivering end to end release management & development life cycle: source code repositories (Git) and versioning/branching/peer reviewing, continuous integration (e.g., GitLab CI/Azure DevOps, Jenkins), deployment/release (e.g., artifact building and repositories), maintenance.
    • Experience in at least one programming language such as Python.
    • Documentation is an important part of this role.
    • Business level English


    Nice-to-have knowledge:


    • Experience with processes (data versioning, model versioning)
    • Familiarity with Cloud Data Warehouse and/or Data Lakehouse Approaches
    • Experience in Metadata Management


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