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Big Data Engineer

  • Location: Columbus, OH
  • Job Type: Right to Hire
  • Ref No: 19-06535
  • Date: November 05, 2019
  • Job title:
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Job Description - Big Data Engineer

ICS is working with a Fortune 500, industry leading financial institution in Columbus, OH. As a Big Data Engineer you will become an asset to the company since they expect to convert candidates within 6-8 months.  Can you picture yourself working for one of America’s ideal employers? Our client has received numerous awards and accolades due in part to their commitment to diversity, veterans, and fostering innovation. They have been named one of Fortune Magazine’s World’s Most Admired Companies of 2018 and are included in the Top 50 Most Innovative Companies named by Boston Consulting Group. With on-site training and mentoring, they are committed to your professional development as well.



The Data Engineer will be part of the core group responsible for the end to end data management on the Big Data platform. The Data Engineer will be responsible for data ingestion, data validation, code development on various big data technologies, data analysis troubleshooting and user interactions working in an agile team.



” Effectively partner with the Data and Analytics team to understand their data requirements, work on data ingestion, analysis, validation, transformation etc.

” Partner closely with various analytics projects to provide value from a data engineering perspective.

” Provide support for development work supporting the ingestion framework, SQL and anything else needed for generating validations.

” Support & monitor various data feeds as required for the project.

” Apply quality assurance best practices to all work products



” Strong experience in Hadoop stack   Hive, Impala, Spark SQL.

” Experience in Python, Java, Spark development is highly desired.

” Experience with any traditional databases like Greenplum or Teradata is preferred. Strong SQL skills preferred.

” Good communication skills and ability to interact with users, make presentations and guide conversations.

” Experience with scheduling & data integration tools like Control-M and Ni-Fi is highly desired.

” Strong exposure in Data Management, Governance and Controls functions

” Experience in Big Data technologies like Pig, Kafka is preferred

” Experience in data analysis, validation and reporting is a plus.

” Ability to present complex information in an understandable and compelling manner

” Knowledge of industry leading Business Intelligence tools

” Experience with machine learning is preferred

” Bachelor’s or Advanced Degree in Information Management, Computer Science, Mathematics, Statistics, or related fields desired

” Overall 6   8 years of experience




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