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  • 📈Data Engineer📈
    Data

    📈Data Engineer📈

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Hybrid

    Tech stack

      Git

      nice to have

      DBT

      nice to have

      Power BI

      nice to have

      Terraform

      nice to have

      Snowflake

      nice to have

      SQL

      nice to have

      Fivetran

      nice to have

    Job description

    Online interview

    Who We Are Looking For? 🌟

    • A strong technical background with experience in data engineering, preferably in HR or People Analytics. 🧑‍💻
    • Proven experience in building and managing data pipelines and models using tools like DBT, Fivetran, and Snowflake. 🔧
    • Solid understanding of data governance, privacy, and the sensitivity around handling data, preferably HR-related data from systems such as Workday, Greenhouse, and Culture Amp. 🔒
    • Strong collaboration skills to work effectively with colleagues across different geographies and functions. 🤝
    • A proactive mindset with the ability to work independently and drive initiatives forward. 🚀
    • Experience in version control using Git and automating infrastructure with Terraform. 🛠️


    Tech stack

    While the below list is extensive, it’s not a prerequisite to know all technologies listed. We value the ability to learn quickly and adapt to new environments:

    • Snowflake for data warehousing ❄️
    • DBT for data modeling 📊
    • Fivetran for data integration 🔗
    • SQL for querying and managing data 📋
    • PowerBI for supporting new core semantic models 📈
    • Terraform for infrastructure automation 🏗️
    • Git for version control 📂
    • Data validation frameworks for ensuring data integrity ✅


    Responsibilities

    • Designing and implementing robust data pipelines to ingest, clean, and process large volumes of HR data from various sources. 🔄
    • Developing and maintaining data models using tools like DBT to ensure our data is well-structured and accessible for analysis. 🛠️
    • Connecting and integrating data sources using Fivetran, ensuring seamless data flow into our Snowflake data warehouse. 🌊
    • Building and maintaining data validation and testing frameworks to ensure data quality and reliability. 🔍
    • Implementing data governance policies and managing access rights to ensure that sensitive HR data is handled securely and compliantly. 🛡️
    • Collaborating closely with local and international colleagues to align data engineering efforts with broader People Analytics initiatives and HR strategies. 🌍
    • Automating infrastructure management using Terraform, ensuring scalability and reliability of our data systems. ⚙️
    • Using Git for version control, ensuring that all changes to data pipelines, models, and infrastructure are tracked and managed effectively. 📖
    • Support HR Business Users with their Dashboard creation in PowerBI. 📊

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