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Data Engineer

    Data Engineer - Chmielna, Warszawa, Polska - DCV Technologies

    DCV Technologies
    DCV Technologies Chmielna, Warszawa, Polska

    1 tydzień temu

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    W pełnym wymiarze godzin
    Opis

    Our client, is a world-leading digital payments network that removes barriers and connects people.

    We're urgently seeking a Data Engineer

    Remote, Poland

    Salary range up to USD /day

    In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include:

    • Assembling large, complex sets of data that meet non-functional and functional business requirements
    • Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
    • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using new or existing technologies
    • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
    • Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
    • Working with stakeholders including the data science, product, TPM, software teams to support their data infrastructure needs while assisting with data-related technical issues

    Basic Qualifications:

    • 5 years of work experience with a bachelor's degree or an advanced degree in Computer Science, Information Technology, Engineering, or a related field.
    • Proficiency in SQL and experience with other programming languages such as Python, Java, or Scala.
    • Experience with big data tools and frameworks such as Hadoop, Spark, or Hive.
    • Strong experience in ETL (Extract, Transform, Load) tools and processes.
    • Familiarity with databases and data warehousing solutions, both relational (like MySQL, Oracle) and non-relational (like MongoDB, Cassandra).
    • Knowledge of data modeling and data architecture.
    • Experience in automation and setup scheduling jobs on Hadoop like Apache Tuber or other tools
    • Experience with kafka or flink steaming data to hadoop is a plus
    • Experience with cloud services like AWS, Google Cloud, or Microsoft Azure is plus
    • Experience with data visualization tools and BI tools like Tableau, Power BI etc. can be a plus.

    Innovation is in our DNA, if you feel the same way, send your CV


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