Capgemini Big Data Engineer in United States
Big Data Engineer
A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion.
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Job Title: Big Data Engineer
Job Type: Full Time
Developing distributed computing Big Data applications using Hive, Pig on MapR Distro
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 their data assets for both Operational Applications and Analytical needs.
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, HBase/Mapr DB and Hadoop ETL development via tools such as Talend
6+ years’ experience in UNIX and Shell Scripting, Oracle, SQL Server, PL/SQL
3+ years’ experience in job scheduling tools like AutoSys
3+ years’ experience in Pig and Hive Queries and tuning hive queries
3+ years’ experience in MapReduc
3+ years’ experience in Importing and exporting the data using COTS tools such as Talend or open source such as Scoop from Relational Database systems/mainframe/Files
Good to Have:
HBase / Mapr DB
3+ years’ experience Hand on experience with Oozie.
Experience working with Spark for data manipulation, preparation, cleansing
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.
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.