Short Description

About Capgemini

With more than 190,000 people, Capgemini is present in over 40 countries and celebrates its 50th Anniversary year in 2017. A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion. Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.Rightshore ® is a trademark belonging to Capgemini 

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.

Position Type: Full Time/Permanent

Role: Big Data Architect

Job Description:
• 12+ years of experience in IT industry related to data integration, preferably in Financial Services
• 4+ years of experience in enterprise implementation of Big Data architecture and integration
• 2+ years of experience in consulting environment
• Accountable for creating end-to-end Big Data Solution design and development
• Ability to perform hands on development and lead analysis, architecture, design, and development Big Data solution using best of breed Hadoop eco system technologies
• Experience with Spark (Java/Scala), Map/Reduce, Python, R, Pig, Hive, Kafka, Knox, Tomcat and Ambari
• Proven experience in developing Big Data Pipelines in a Hadoop Ecosystem using Kafka, Hive, Hive w/Tez, HDFS, HBase, and Spark on Yarn (Hortonworks HDP preferred)
• Experience with DevOps CI and CD model
• Experience with Maven (or Gradle or SBT) and Git preferred
• Proved experience in attribute based data cataloging systems like Atlas/Ranger and integration with Colibra and similar technologies
• Experience with NoSQL databases like Cassandra, HBase, MongoDB and In-memory data grids
• Preferred: Financial Services, Hortonworks Platform Data Platform Certified Developer HDPCA Data Flow Certified Administrator HCA

Disclaimer: Capgemini America Inc and its U.S. affiliates are EEO/AA employers.  Capgemini conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, gender identity/expression, disability, citizenship status, genetics, or status as a Vietnam-era, special disabled and other covered veteran status. Click the following link for more information on your rights as an Applicant:

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