
Data Engineer – Big Data
Participate in the agile development process. Develop functional and technical specifications from business requirements for the commercial platform. Ensure application quality and adherence to performance requirements. Help create project estimates and plans Represent engineering team in project meetings and solution discussions. Participate code review process Work with team members to achieve business results in a fast paced and quickly changing environment. Pair up with data engineers to develop cutting edge Analytic applications leveraging Big Data technologies Hadoop Spark Hive Python Mentor and influence up and down the chain of command. Perform other duties and or projects as assigned.
Ability to work in a fast paced environment
Experience in Agile methodologies processes
5+ years of related experience
Python
Time Management
Hadoop
Hive
Data analysis skills
Process Improvement
Verbal communication
written communication
Self-Driven
Adaptability
According to JobzMall, the average salary range for a Data Engineer – Big Data in 333 Wacker Drive, 333 W Wacker Dr, Chicago, IL 60606, USA is $104,000 - $164,000.
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Capgemini SE is a French multinational corporation that provides consulting, technology, professional, and outsourcing services. The company's services are organized into four businesses: Consulting, Technology, Outsourcing and Local Professional Services.

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