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Data Engineer - Python, Oracle, Hadoop

Company: Cybercoders
Location: Wheaton
Posted on: January 16, 2022

Job Description:

If you are a Data Engineer with experience, please read on!

What You Will Be Doing

For this role its working with an insurance company. We need help cleaning the data with a small based team. The team needs a strong data engineer to help collect raw data and use it for useful information. We need a tech stack of python, SQL (oracle), Hadoop, and AWS.

Top Reasons to Work with Us

Remote

What You Need for this Position

  • Python
  • Oracle
  • Hadoop
  • AWS
    What's In It for You

    Remote and Strong Salary

    So, if you are a Data Engineer with experience, please apply today!

    Colorado employees will receive paid sick leave. For additional information about available benefits, please contact Tony Azzato

    Email Your Resume In Word To

    Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:

    Tony.Azzato@CyberCoders.com
    • Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : AA10-1667958 -- in the email subject line for your application to be considered.***
      Tony Azzato - Executive Recruiter - CyberCoders

      Applicants must be authorized to work in the U.S.

      CyberCoders, Inc is proud to be an Equal Opportunity Employer

      All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

      Your Right to Work - In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.by Jobble

Keywords: Cybercoders, Wheaton , Data Engineer - Python, Oracle, Hadoop, Engineering , Wheaton, Illinois

Click here to apply!

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