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    Data Engineer/ GoLang Developer - St Louis, United States - Envision

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    Description
    Data Engineer


    • Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
    • Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
    • Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
    • Explore relevant technology stacks to find the best fit for each dataset
    • Pursue opportunities to present our work at relevant technical conferences

    o Google Cloud Next 2019:


    o GraphConnect 2015:


    o Google Cloud Blog:



    • Project your talent into relevant projects. Strength of ideas trumps position on an org chart

    You should have:

    • At least 7 years experience in software engineering
    • At least 2 years experience with Go
    • Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
    • Experience with stream processing using Apache Kafka
    • A level of comfort with Unit Testing and Test Driven Development methodologies
    • Familiarity with creating and maintaining containerized application deployments with a platform like Docker
    • A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
    • Experience data modeling for large scale databases, either relational or NoSQL

    Bonus points for:

    • Experience with protocol buffers and gRPC

    Experience with:
    Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes

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