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  • Data Engineer
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    Data Engineer

    4 627 - 6 516 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Spark clusters

      regular

      PySpark

      regular

      GCP

      regular

    Job description

    Online interview

    Data Engineer (Mid/Senior)

    Location: Remote

    Employment Type: Full-Time

     

    Role Overview:

    We are seeking a skilled Data Engineer to join our team. This role focuses predominantly on developing data pipelines (80%-90% of responsibilities) while working in a dynamic, collaborative environment. Whether you are a Medior or Senior Data Engineer, your technical expertise in GCP, pySpark, and Spark cluster management will be critical to your success.


    Key Responsibilities:

    • Design, implement, and maintain robust data pipelines.
    • Manage and optimize Spark clusters to ensure efficient data processing.
    • Work with GCP (Google Cloud Platform) to build scalable, secure, and efficient data solutions.
    • Collaborate with team members and stakeholders to deliver high-quality data products.
    • (For Senior Role) Participate in internal technical platform reviews and assessments.
    • (For Senior Role) Provide expertise and guidance in Data Platform best practices and code quality assurance.

     

    Technical Requirements:

    Must-Have Skills:

    pySpark expertise.

    Experience managing and optimizing Spark clusters.

    Strong working knowledge of Google Cloud Platform (GCP) (other cloud platforms are not applicable).

    Proven ability to implement data pipelines, with flexibility in the specific technology used.

    Additional Requirements for Senior Role:

    Broader experience and knowledge of Data Platforms.

    Demonstrated experience working with various stakeholders and team members.

    Proven experience in ensuring code quality assurance.

     

    Soft Skills:

    • Medium to strong communication skills with the ability to articulate thoughts clearly and collaborate effectively.
    • Nice to Have:
    • Financial/Risk knowledge is not required, but a willingness to learn and adapt to business contexts is appreciated.

     

    What We Offer:

    • Competitive salary based on experience and role level.
    • Opportunities for professional growth in a supportive, innovative environment.
    • 100% remote work flexibility.
    • Collaborative and inclusive team culture.
    • MultiSport Plus
    • Medicover
    • Generali life insurance
    • E-learning platform
    • Paid Referral Program
    • If you're passionate about data engineering and ready to take on new challenges, apply now!
    4 627 - 6 516 USD

    Net/month - B2B

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