Capgemini

AWS Data Engineer (1388622 -12480063)

Job description

AWS Data Engineer (1388622 -12480063)

FT Base + Bonus + Benefits (Remote)

Job Responsibilities

US remote

Role Summary- Purpose We are looking for a Senior Data Engineer to be part of our scrum teams and perform functional system development for Hadoop applications for our Enterprise Data Lake initiative This is high visibility fast paced key initiative will integrate data across internal and external sources provide analytical insights and integrate with our critical systems Essential Responsibilities 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 NoSQL and In memory Data Grids Mentor and influence up and down the chain of command Perform other duties and or projects as assigned Need to be experience in AWS S3 buckets EC2 etc Plus if have cloud migration experience Qualifications Requirements Bachelor s degree in a quantitative field such as Engineering Computer Science Statistics Econometrics and a minimum of 10 years of experience Minimum 5 years experience working with and developing big data solutions Hands on experience on writing shell scripts complex SQL queries Hadoop commands and Git Ability to write abstracted reusable code components

Programming experience in at least two of the following languages Scala Java or Python Hands on knowledge of AWS Cloud Data Engineering Desired Characteristics Strong business acumen Critical Thinking and Creativity Performance tuning experience Experience in developing Hive Sqoop Spark Kafka HBase on Hadoop AWS Familiar with Ab Initio Hortonworks Zookeeper and Oozie is a plus Willingness to learn new technologies quickly Superior oral and written communication skills as well as the willingness to collaborate across teams of internal and external technical staff business analysts software support and operations staff Strong business acumen including a broad understanding of Synchrony Financial business processes and practices Primary Skills AWS Hadoop HIVE Spark Secondary Skills Ab Initio ETL Kafka


Qualifications

Qualifications

  • Bachelor’s degree
  • 5+Years of experience

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

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