Big Data Engineer Cincinnati

Data Engineer-1831


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General Information

Position Summary

The Senior Data Engineer will be responsible for independently analyzing, developing, testing and supporting moderate to highly complex database applications. In this role you will contribute significantly to the development of applications core to our business.

The Value You Deliver

  • Design and develop scalable data processing pipelines and application using big data technologies (Databricks/Spark, Hive, AWS data and analytics services, etc.)  
  • Daily activities will involve development, testing, meeting with technology leadership to work through technical designs, supporting other developers on the team with their deliverables, and participating in Agile (SCRUM) ceremonies
  • Participate in problem identification and requirement gathering by working closely with product owners or analysts to understand business and functional requirements
  • Provide operational and production support for the applications we build and maintain.
  • Work with Data Science group to profile large data sets, and define and implement analytical models
  • Develop and refine design patterns, processes, standards, and components for various data engineering functions/areas.

 

Expertise and Skills You Have

  • Bachelor’s or Masters degree in Computer Science or Statistics, or equivalent work experience
  • Minimum of 3 years’ experience in software development as it relates to big data engineering, data mining, or model development
  • Proficiency in at least one of the following languages: Python, Scala, Java
  • Expert level knowledge in Python and SQL is highly desirable
  • Oracle SQL and PL/SQL experience preferred
  • Expert ability to apply analytical and problem-solving skills to solve complex design and coding problems
  • Prior experience migrating data from relational Data Warehouse to the Data Lake environment is a big plus
  • Experience working with large and diverse data sets
  • Experience with AWS cloud data services
  • Ability to learn and adapt to continually evolving technologies in the big data ecosystem
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