PA013705F | Big Data DevOps Engineer (w/m/d) | Munich | 10 Monate

Location:  Munich
Dauer: 10 Monate
Beginn: Mar 1, 2020
Projekt-Nr.: PA013705F

Projekt Beschreibung

For our client we are searching for an Infrastructure Big Data DevOps Engineer (w/m/d to support the current project.

• Develop new functionalities for the Global Data Platform (GDP)
• Evaluate new technologies in the field of cloud computing, distributed computing, data engineering and data science
• Look for opportunities to improve performance, reliability and automation
• Resolve incidents and change requests
• Support and interact with data scientists and data engineers
• Write technical documentation, announcements, blog posts, and best practices

– Besonderheit: Kandidaten müssen festangestellt sein!
– Remote: nach Absprache möglich
– Auslastung: 5 Tage die Woche
– Verlängerung: Ja, Option besteht

Software Development
• Proficiency in at least one programming language (we have components written in Python, Scala, Elm etc.)
• Software engineering (design patterns, version control, automated testing, concurrent programming etc.)
• Continuous integration, deployment, and delivery

Data Engineering (offering the services below to our customers)
• Databases (e.g. PostgreSQL, Elasticsearch, Neo4J)
• Distributed systems (e.g. Spark)
• Event-based systems (e.g. Kafka)
• Workflow orchestration and automation (e.g. Luigi)
• Data Science Tooling (e.g. Jupyter, R-Studio, Zeppelin)
• Basic understanding how machine learning algorithms work

General IT Skills
• Advanced Experience with Linux
• Containerization (Docker)
• General understanding of Networking, Infrastructure, Orchestration, Distributed Systems and IT Security Principles

Bei Interesse setzen Sie sich mit uns in Verbindung.

Marcel Schulz
Tel: +49 (711) 518922 – 23
Mobil: +49 (152) 318 18 617

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