We are seeking hardworking, experienced Big Data Support Engineer to join a growing, high-visibility cross-Bank team that is developing and deploying solutions to some of Credit Suisse’s most important analytical problems.
As a member of our team, you will support big data clients with data spanning Credit Suisse’s global organization to solve emerging challenges via the utilization of new technologies such as :
Distributed file systems and storage technologies (HDFS, HBase, Hive, Kudu)
Large-scale distributed data analytic platforms and compute environments (Spark, Map / Reduce)
Streaming technologies such as Kafka, Flume
Data Connection and Enrichment (Tamr)
Strong knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Impala, Hue, Spark, Hive, Kafka, YARN, ZooKeeper and Postgres
You are proficient in Python, Ansible, Salt and dev ops technologies. Linux and BASH scripting
You have a good knowledge in Cluster maintenance as well as creation and removal of nodes using tools like Cloudera Manager as well as performance tuning of Hadoop clusters and Hadoop MapReduce routines.
You build and maintain positive relationships with your colleagues from other application teams to install Hadoop updates, patches, version upgrades
You bring experience in Service Management i.e. Release management, Incident management as well as experience with deployment toolsets like Odyssey, SVN, Git, Tableau, Nolio, Pentaho
You are a dedicated problem solver with production support experience and an ability to cooperate within a multidisciplinary, global team.
You are a self-starter with a strong curiosity for extracting knowledge from data and the ability to elicit technical requirements from a non-technical audience
You bring 7+ years of experience in enterprise IT at a global organization with recent 3+ years in Big Data ecosystem administration and you are fluent in written and spoken English
Mr. L. Anselment would be happy to receive your application. Please apply via our Career Portal.