Data Engineer Position Available In Mecklenburg, North Carolina
Tallo's Job Summary: The Data Engineer position in the Banking/IT industry is available in Chicago, IL, Addison, TX, and Charlotte, NC. The role offers a pay range of $58-$65/hr for a 12-month duration with a possible extension. Responsibilities include building data pipelines, identifying data gaps, and providing automated solutions for advanced analytics. Proficiency in tools like Hive, Spark, and HBase, along with strong programming skills, SQL knowledge, and Agile development experience are required. Candidates must have a solid background in Hadoop/Big Data, Python, Spark/Scala, and Kafka. Prior banking experience and strong communication skills are considered pluses for this role.
Job Description
Data Engineer
Position Details:
Industry:
Banking/IT
Job title: Data Engineer
Location:
Chicago, IL/ Addison, TX/ Charlotte, NC
Duration:
12 months (extension up to 24 months)
Onsite:
100% (Mon – Fri)
Pay Range:
$58-$65/hr
Mission:
Build new data pipelines, identifying existing data gaps, and providing automated solutions to deliver advanced analytical capabilities and enriched data to applications that are supporting the operations team.
Responsible for obtaining data from the System of Record and establishing real-time data feed to provide analysis in an automated fashion.
Day to
Day Responsibilities:
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
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
Pluses:
Prior Banking experience
Strong communication
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:
91127026
Position Id:
23527
