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Cupertino

    Lead Platform Engineer - Cupertino, United States - Omni Inclusive

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    Description
    Summary
    We are looking for a strong and experienced software engineer who has a focus on Platforms/Systems within the analytics space.

    Description
    • In this role you will be responsible for engineering, integrating, and maintaining an analytics data platform based on a hybrid cloud infrastructure.
    • Work collaboratively with our sister Data Engineering team to engineer custom solutions when required.
    • Participate and provide 8x5 support to our stakeholders and platform users when required.
    Key Qualifications
    • Experience leading teams and working with multiple stakeholders.
    • 2+ years of professional experience with the Python programming language.
    • 2+ years of professional software engineering experience (APIs, services, tooling and automation).
    • Knowledge and experience in working with Docker, Kubernetes, and related technologies.
    • Knowledge and experience with DevOps methodologies.
    • Professional experience with Java/Scala based analytics platforms (Hadoop, Spark, Hive, Trino, etc.).
    • Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus.
    • Excellent time management skills with the ability to manage work to tight deadlines.
    • Experience developing solid and scalable technical solutions to business problems.
    • Experience with agile development and work management methodologies.
    • Ability to pick up new technologies relatively quickly.
    • Ability to communicate effectively (written and spoken).
    • Ability to work with the multi-timezone development teams and self-manage own work.
    • A strong work ethic.


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