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1706-3953: Data Engineer (m/w), München

Published at 2017-06-20

* Set up the infratructure environment
* Work on 2 (external) Use Cases to bring into the systems of our customer

If you are interested in this position, please send us your CV in English as well as a short Management Summary (4-5 sentences).

Must-haves:

- Strong knowledge of Hadoop ecosystem and related projects (Hive, Impala, Spark, ...)
- Experience in setting up an Hadoop environment
- Fluent English (spoken and written)

Nice-to-haves:

- Very strong experience with Linux and scripting languages
- Experience as DevOps or working in that area
- Knowledge in databases technologies and fundamentals, both RDBMS and NoSQL
- Work experience with programming languages e.g. Java, C++ / C#, Scala, Python, Ruby, C; JavaScript frameworks as a plus
- Experience with distributed computing and resource management (YARN, Mesos...)
- Hands-on experience with hypervisor, provisioning, configuration and deployment technologies, (KVM, Vagrant, Puppet, Docker...)
- Hands-on experience with cloud technologies, principles (IaaS, PaaS, SaaS) and capabilities
- Managing security in an enterprise environment (LDAP/AD, Kerberos, encryption...)
- Knowledge of basic networking concepts (OSI Layers, VPN, Tunneling) and protocols
- Familiar with several architectural (MVC, naked objects, microservices...), design (facade, proxy, observer...) patterns and principles (DRY, SOLID, SOC...)
- Thorough bugtracking, debugging and stacktrace/logfile deep dive skills
- Capability of result oriented communication with people from different departments with different skill sets
- Excellent time-management skills