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    Senior Data Engineer - Columbus, United States - g2o

    g2o
    g2o Columbus, United States

    2 days ago

    Default job background
    Full time
    Description

    Your future starts here

    Imagine being part of a team that helps clients build better relationships with customers. When you join us, you'll help top-notch clients to execute the digital strategies of the future. Every day, we collaborate with clients and each other to provide technology expertise, human-centered design and industry experience to deliver real business results.

    Position description

  • Work collaboratively with technical team members to develop, deploy and production support data engineering jobs and pipelines - spark structured stream processing jobs across one or more streams, persisted to a data lake.
  • Work with leads and architects to prototype designs and technologies.
  • Design and develop data engineering jobs with an eye on quality attributes (and trade-offs) such as simplicity, reliability, scalability, extensibility, performance. Build or reuse common frameworks where possible.
  • Set and adhere to coding and style guides to ensure consistency. Ensure code quality through mechanisms including code coverage, peer reviews, pair programming.
  • Create and deploy streaming data quality checks with remediation runbooks. Adhere to data governance and compliance requirements and standards.
  • Provide recommendations for and help curate technical backlogs for technical debt management and continuous improvement.
  • Required qualifications

  • 5+ years of total experience working with data and data pipeline technologies at scale.
  • 3+ years of solid Python development experience – including: Robust unit and integration testing and Git driven CI/CD to production
  • 2+ years of proven experience developing streaming data processing tasks using pySpark and SparkSQL
  • Solid understanding of Spark, preferably Databricks Spark and Apache Delta
  • Read streaming data from Kafka, Apache Delta or similar, merge /enrich /qualify data inline, capture operations metrics, persist to target, debug and optimize
  • At scale and in production
  • Experience leveraging public cloud data and analytics services. Azure preferred, but AWS/GCP also works.
  • Nice to have: Super user experience with reporting tools such a PowerBI.
  • Required education and experience

  • College/University Degree or equivalent.

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