About Capgemini


With 180,639 employees in over 40 countries in Europe,
North America, Latin America and Asia-Pacific, the Group reported consolidated
revenues of €11,915 million in 2015. Together with its clients, Capgemini
creates and delivers business and technology solutions that fit their needs and
drive the results they want. A deeply multicultural organization, Capgemini has
developed its own way of working, the Collaborative Business ExperienceTM, and
draws on Rightshore®, its worldwide delivery model.

Learn more about us at http://www.capgemini.com/ .


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.

Title: Hadoop

Location:- NYC,NY

Hadoop development and implementation of a large scale
data ingestion, cleansing, and aggregation system

Loading disparate data sets and performing analysis of
vast data stores

Develop, automate and maintain scalable Cloud
infrastructure to help process terabytes of data * Testing prototypes and
propose best practices for Big Data SPECIALIZED KNOWLEDGE & SKILLS * 3+
years of experience in Software Engineering and Big Data Analytics

 2+ years of Big
Data Tech experience: Hadoop, Hive, Pig, MapReduce, Spark, Scala, etc.

Experience with Ruby and PostgreSQL are a big plus

Experience with monitoring systems and metrics
collection (Nagios, DataDog, Cacti or ganglia)

Experience with configuration management, especially

Experience identifying key metrics, rapid prototyping
and configuring production monitoring systems

Understanding of SQL, ETL, orchestration, distributed

Apply now