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  • All offersWarszawaDataSenior Data Engineer (Pacific Time)
    Senior Data Engineer (Pacific Time)
    New
    Data
    Sunscrapers

    Senior Data Engineer (Pacific Time)

    10 708 - 12 747 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Airflow

      advanced

      ETL

      advanced

      SQL

      advanced

      Python

      advanced

      Google Cloud Platform

      regular

      Docker

      regular

      Snowflake

      regular

      Pandas

      regular

      API/SFTP Data Ingestion

      regular

      PowerBi

      nice to have

    Job description

    Online interview

    Advance your career with Sunscrapers, a leading force in software development, now expanding its presence in a data-centric environment. Join us in our mission to help clients grow and innovate through a comprehensive tech stack and robust data-related projects. Enjoy a competitive compensation package that reflects your skills and expertise while working in a company that values ambition, technical excellence, trust-based partnerships, and actively supports contributions to R&D initiatives.


    The project:

    Our client is a leading global technology-focused venture capital firm with over $11 billion in AUM, that focuses on helping growth-stage technology companies become category-defining leaders. The firm enjoys an open-door, collaborative culture - and spirited intellectual debate is encouraged!

    As a Senior Data Engineer, you will report to a Head of Data & Analytics and help build the entire data stack and infrastructure that support operations.


    Responsibilities:

    • Design, build, and maintain the data infrastructure necessary for optimal extraction, transformation, and loading of data from a variety of data sources using SQL, NoSQL, and big data technologies
    • Develop and implement data collection systems that integrate a variety of sources such as proprietary company data and third-party data sources etc.
    • Build out an automated process to collect and visualize user engagement data from CRM/UI


    IMPORTANTLY, the project is being implemented in cooperation with a client from the West Coast (Pacific Standard Time) - availability is expected from 6:00 p.m. to 9:00 p.m.


    Requirements

    What's important for us:

    • Experience of minimum 5 years as a full stack or data engineer in the fields of data warehousing, data monitoring, and building and maintaining ETL pipelines
    • Deep experience with data pipeline and workflow management tools (e.g. Airflow)
    • Solid knowledge and experience with database design, setup, and maintenance
    • Proven ability to operate in highly dynamic environments with high product velocity
    • Strong mastery of Python and SQL
    • Good understanding of Docker
    • Experience with Pandas
    • Strong communication skills, both orally and written
    • ETL experience on Google Cloud Platform & Snowflake
    • Financial experience getting data out/in
    • Previous experience with API/SFTP data ingestion
    • Bachelor's or master's degree in Computer Science, Database Management, etc.


    Nice to have:

    • Experience with BigQuery, SIGMA
    • Experience in venture capital data operations
    • Familiarity with data visualization tools (e.g. Looker, Tableau, PowerBI, or similar), CRM (Salesforce), automation tools (Zapier)


    Benefit

    What do we offer?

    • Working alongside a talented team of software engineers who are changing the image of Poland abroad
    • Culture of teamwork, professional development and knowledge sharing (https://www.youtube.com/user/sunscraperscom)
    • Flexible working hours and remote work possibility
    • Comfortable office in central Warsaw, equipped with all the necessary tools for conquering the universe (Macbook Pro/Dell, external screen, ergonomic chairs)


    Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

    All offersWarszawaDataSenior Data Engineer (Pacific Time)

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