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Data Engineer Contract: chicago, Illinois, US
Salary Range: 64.00 - 66.00 Per Hour
Job Code: 360603
End Date: 2025-05-16
Days Left: 23 days, 3 hours left
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Company: Banking
Type (Contract): 12 months
Location: Chicago, IL
Pay rate: 64/hr to 66/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 - Programming background
- Hadoop/ Big Data experience
- Kafka expertise
- Kafka Streaming
- Spark
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- VARUN SAVARIA
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