About Capgemini


With more than 180,000 people in over 40 countries, Capgemini is a
global leader in consulting, technology and outsourcing services. The Group
reported 2015 global revenues of EUR 11.9 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 Experience™, and draws on Rightshore®, its
worldwide delivery model.


Learn more about us at www.capgemini.com.


Rightshore® is a trademark belonging to Capgemini


Job Title: 
Senior Hadoop Developer

Loc: Charlotte, NC


Job Summary:

  • Developing
    distributed computing Big Data applications using  Spark, Elastic Search  on MapR Hadoop

  • Help drive
    cross team design / development via technical leadership / mentoring

  • The
    Senior/Lead Hadoop Developer is responsible for designing, developing, testing,
    tuning and building a large-scale data processing system, for Data Ingestion
    and Data products that allow the Client to improve quality, velocity and
    monetization of our data assets for both Operational Applications and Analytical

  • This
    position supports this goal with strong experience in software engineering and
    development of solutions within the Hadoop Ecosystem.

  • Troubleshoot
    and develop on Hadoop technologies including HDFS, Hive, Pig, Flume, HBase,
    Spark, Impala and Hadoop ETL development via tools such as Talend


  • Experience
    in analyzing text, streams with emerging Hadoop-based Big Data, NoSQL.

  • Analyzing
    data with Hive, Pig and HBase.

  • 6+ years’
    experience in UNIX and Shell Scripting.

  • 3+ years’ experience
    in job scheduling tools like AutoSys.

  • 3+ years’
    experience in Pig and Hive Queries.

  • 3+ years’
    experience Hand on experience with Oozie.

  • 3+ years’
    experience in Importing and exporting the data using Sqoop from HDFS to
    Relational Database systems/mainframe and vice-versa.

  • 3+ years’
    experience in MapReduce.

  • Experience
    working with Spark for data manipulation, preparation, cleansing.




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:


Apply now