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Data Engineer

Contract: Chicago, Illinois, US

Job Code: 360675

End Date: 2025-04-08

Job Status: Expired

This Job is no longer accepting applications

Must Haves:

  • Good Programming background
  • Strong Hadoop/ Big Data experience
  • Python, Spark/Scala, Kafka expertise
    • Strong knowledge in Spark and Kafka (does not need to be Sr. level but understand how it works and proven ability to deliver)
  • Sr. Level experience

Additional Information:

  • Working experience on tools like Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, MapReduce, etc.
  • Hands on programming experience in perhaps Java, Scala, Python, or Shell Scripting, to name a few
  • Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
  • Strong experience with SQL and Data modelling
  • Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
  • Experience using Source Code and Version Control systems like SVN, Git, etc.
  • Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components
  • Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
  • Ability to comprehend customer requests and provide the correct solution
  • Strong analytical mind to help take on complicated problems
  • Desire to resolve issues and dive into potential issues

    Pay Rate Range: $60/HR - $65/HR

 

Job Requirement
  • Data Engineer
  • Data
  • Hadoop
  • Hive
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Anjesh Singh
  • anjesh.singh@collabera.com
This Job is no longer accepting applications
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