Big Data Engineer

Short Description

About Capgemini

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.

Visit us at www.capgemini.comPeople matter, results count.

Job Title: Big Data Engineer

Job Type: Full Time


Plan and expand appropriately existing Big Data infrastructure.
Work with multiple data sources and ingesting data into Data Lake.
Work on building business data-sets for Analytics & Reporting.
Should understand shredding XML data and building necessary data views.
Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark Hortonworks HDP and HDF preferred.
Deep understanding of relational databases and data integration technologies
Strong in UNIX shell Perl and Python scripting  

 

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: http://www.capgemini.com/resources/equal

 

Company
Capgemini
Posted
09/18/2018
Type
Full time
Location
Connecticut, NY, US