Senior Big Data Support Engineer
2 days ago
Within the CAS team, the scope of this job is to ensure the following tasks on a 24x7 basis (on-call basis):
- handle, diagnose and route in real-time incoming trouble tickets
- responsible for 2nd level technical support and escalation
- communicate planned/unplanned outages to end users
- provide workarounds for major issues until permanent fix is delivered
**about you**:
**Functional**
- strong ability to work in a team
- excellent written and verbal communication skills
- time management
**Technical**
- Proven understanding and hands-on experience with Big Data processes; Apache Hadoop (MapReduce), Hive, HDFS, Yarn
- Proven understanding and hands-on experience with Big Data Orchestration tools; Apache Oozie
- Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Python, Scala, R etc.)
- Strong database/SQL skills and able to work with huge data sets from Hadoop as well as leading databases (e.g. Teradata, Oracle, MySQL, DB2 etc.)
- Strong NoSQL database skills (e.g. MongoDB, Apache HBASE, Cassandra etc.)
- Experience with Hortonworks Hadoop distribution components and custom products (e.g. Impala, Navigator, Ambari, Nifi and Sentry etc.)
- Preferred experience in handling streaming and/or unstructured data through Apache components like Kafka, and Spark
- ITIL foundation knowledge (certificate is a plus)
**Educational background**
- B.Sc. in computer science or equivalent
- Fluent in English, French is a plus
**Professional Experience**
- 5+ Years work Experience in IT operation activities
**department**:Customer Marketing& Innovation
**contract**:Regular
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