Experience with Java Core;
Knowledge of distributed systems programming;
Good knowledge and experience with Hadoop ecosystem;
Experience with NoSQL databases;
Knowledge in security protocols (SASL/Kerberos, SSL) is appreciated;
Knowledge in Unix system administration is appreciated;
Version control (Git);
At least intermediate level of English
Git, Amazon AWS, Cloudera, Hortonworks, Linux
Interesting and challenging opportunity in a large and dynamically developing company
Exciting projects involving newest technologies
Professional development opportunities
Excellent compensation and benefits package, performance bonus program
Modern and comfortable office facilities
Development of connectors to support latest Hadoop distributions (Cloudera CDH, Hortonworks HDP, MapR) and their related Hadoop ecosystems (HDFS, Hive, Hbase, Pig, Sqoop, Spark);
Development of integration tests to validate that the developed components run flawlessly on the newly supported Hadoop system. This task can require the setup of Hadoop clusters in different configurations (via Virtual machines or Docker images) and support of a secure setup (Kerberos, SSL, High-availability daemons);
Active coordination and collaboration with Big Data development and QA teams (in France and China).
Our client is a
Now we are seeking for a Big Data Engineer to join the our team. Working in a fast paced environment collaborating with a team of very talented people, you will contribute to the enhancements of the Big Data Studio product, especially in terms of support of the latest Big Data ecosystems (HDFS/YARN, Hive, Hbase, Spark...), regularly delivered by our Hadoop vendor partners (Cloudera, Hortonworks, MapR).