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/ .
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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.
Big Data Architect
and implement scalable Big Data architecture solutions for various
multiple sources of structured and unstructured data to propose and design
data architecture solutions for scalability, high availability, fault
tolerance, and elasticity.
conceptual, logical and physical design for various data types and large
some or all of the Big Data systems in distributed cloud environments.
security, encryption best practices for Big Data environments.
design and implement high performance large volume data integration
processes, database, storage, and other back-end services in fully
with customer teams to formulate the problem, recommend a solution
approach and design a data architecture
closely with the product management and development teams to rapidly
translate the understanding of customer data and requirements to product
in Rapid Application Development and Agile processes to deliver new cloud
platform services and components.
architectural vision and direction across a matrix of teams.
- Prototypes and POCs
Skill, Experience & General information Required:
10+ years of experience as a technology leader designing and
developing data architecture solutions with more than 3+ years specializing in
big data architecture or data analytics.
Strong, in-depth experience in data modeling and experience with
business intelligence systems (dimensional modeling, data mining, predictive
Knowledge and experience with Big Data technologies such as
Hadoop, NoSQL and Map-Reduce and other Industry BigData Frameworks
Broad based architecture acumen: Database architecture, ETL, SOA,
Data Platform experience (MapR).
Comfortable in multi terabyte production environments
Highly proficient with large data sets and clusters
Hands-On Technical Competencies
Good experience in NoSQL (MongoDB/Cassandara)
Good experience in hive scripts, Map reduce, handling incremental
Good experience in SPARK,Pig/SQOOP/Kafka/Flume for extracting near
real-time data & event messaging.
Good experience in offloading/loading data in RDBMS & HDFS
Java a big plus
Experience working with Cloud Storage solutions in AWS, Azure etc.
is a plus.
5+ years – Data Integration design and implementation
3+ years – Large Scale Solution Architect ,Design skills in
Big Data, ETL Platform
3+ years – Big Data/AWS/Azure cloud implementation
Experience in Insurance industry a plus