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  • Data Engineer Lead
    Python

    Data Engineer Lead

    Katowice
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent, B2B
    Operating mode
    Remote
    Harvey Nash Technology

    Harvey Nash Technology

    Harvey Nash jest częścią Nash Squared, globalnego dostawcy rozwiązań technologicznych, zatrudniającej ponad 3300 pracowników w 49 biurach rozmieszczonych w Europie, obu Amerykach, Azji i Oceanii.

    Company profile

    Tech stack

      Python

      advanced

      Databases

      advanced

      AWS

      regular

      Data Warehouse

      regular

      Java

      nice to have

      Scala

      nice to have

      GCP

      nice to have

    Job description

    Online interview
    Friendly offer

    Key Responsibilities:

    • Collaborate with business stakeholders to gather and analyze requirements.
    • Analyze and map source data to target systems.
    • Design and develop near real-time data processes for large datasets, ensuring maintainability and performance.
    • Create reconciliation processes to ensure high-quality, accurate data streaming.
    • Maintain and support data streaming processes, ensuring timely delivery to third parties.
    • Focus on data quality assurance and collaborate with QA and data warehouse teams.
    • Troubleshoot and resolve issues in data processes.
    • Communicate clearly with stakeholders about data load statuses and issues.
    • Participate in team and project update meetings, brainstorming sessions, and continuous skill development.

    Requirements:

    • 6+ years of experience in data-focused roles (Data Streaming/Data Warehouse).
    • Strong business analysis and data analysis skills.
    • Proficient in SQL and scripting/programming languages (e.g., Java, Scala, Python).
    • Experience troubleshooting data process issues.
    • Familiarity with cloud platforms (GCP/AWS).
    • Fluent in English, with excellent problem-solving and communication skills.

    Nice to Have:

    • Experience in iGaming and regulatory reporting.
    • Background in supporting data warehouse/streaming systems.
    • Degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics).


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