Data Engineer

Description

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Data Engineer

Contract: Chicago, Illinois, US

Salary Range: 65.00 - 68.00 | Per Hour

Job Code: 350787

End Date: 2025-03-05 Days Left: 9 days, 2 hours left

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Company:

Banking

Position:

Data Engineer

Type (Contract):

12 months

Location:

CHI or Denver Preferred

Pay Range:

65/hr to 68/hr

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 Plusses:

Prior Banking experience Strong communication 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 Job Requirement

Python spark scala kafka kafka streaming Reach Out to a Recruiter Recruiter Email Phone VARUN SAVARIA varun.savaria@collabera.com 9732321098

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