Data Engineer- Columbus OH

Georgia Tek Systems

  • Columbus, OH
  • 8 days ago

    Highlights

    Combines strong software development and data engineering skills with a working knowledge of basic biology/chemistry/physics to develop sophisticated informatics solutions that drive efficiencies in content curation and workflow process. Applies data transformation and other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database building activities.

    Numbers & Facts

    LocationColumbus, OH

    Description

    Job- Data Engineer
    Location- Remote

    Core skills needed –
    • Data Engineering tools and techniques (any ETL/ ELT skills are good to have )
    • Python, XML, XPath
    • SQL
    • AWS Lambda, SQS, Fargate, S3,
    • Dev Ops
    • 10-12 year of exp must have
    • Proficiency in Python
    • Proficiency in Linux/Unix environments
    • Experience building applications for public cloud environments (AWS preferred)
    • Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is highly desired
    • Experience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, S3 is highly desired
    • Experience with Apache Airflow is a plus
    • Experience building containerized applications (Docker, Kubernetes) is a plus

    Skills

    Position Responsibilities
    • Data Engineer is responsible for developing Life Sciences content curation and delivery system for the purpose of building life sciences databases.
    • Develops data transformation and integration pipelines and infrastructure foundations of life sciences content in support of scientific databases and data curation
    • Combines strong software development and data engineering skills with a working knowledge of basic biology/chemistry/physics to develop sophisticated informatics solutions that drive efficiencies in content curation and workflow process. Applies data transformation and other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database building activities.


    Competencies/Technologies
    • Experience with databases technologies (NoSQL, relational, property graph, RDF/triple store)
    • Experience with data engineering tools and techniques is highly desired
    • Experience working with XML and XPath is highly desired
    • Experience with MarkLogic/Xquery is a plus

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