SENIOR DATA OPERATIONS ENGINEER*
THIS IS US
The Data Science department uses statistical modeling, machine learning and optimization techniques to continuously improve business processes at NEW YORKER. We work in agile project teams on a variety of use cases, including order optimization, pricing, distribution and logistics. We are a very ambitious and international team and are proud of our high standards.
THAT'S THE JOB
1. Work closely with the data engineering and data platform teams to maintain, operate and improve the infrastructure and pipelines that run critical data science projects on our on-premise Cloudera cluster
2. Monitor and operate (including on-call duty) key data science pipelines (that rely on Spark)
3. Monitor and analyze runtime behavior, including runtimes, resource usage and distributed communication error rates across all data science pipelines
4. Maintain operating systems on our Cloudera cluster
5. Monitor and maintain our cluster and promptly react to errors and outages
6. Install and maintain the software and development environments required by the data science team on our Cloudera cluster
7. Support the network and infrastructure team in optimizing network boundaries between various systems used by data science
8. Liaise with our suppliers and network and datacenter services team to ensure hardware issues are fixed promptly
9. Initiate, align, implement and enforce a logging and monitoring strategy to make data science project runtime characteristics transparent
10. Define, align and enforce proper HDFS usage guidelines, including maintaining HDFS via appropriate retention periods and monitoring average HDFS block size count and over-partitioning in pipelines
11. Monitor and manage Impala databases and tables
12. Mentor team members, accept mentoring by team members, constantly align your work with your users, exchange constant feedback with your peers through insightful code reviews and grow together as a team
THAT'S WHAT WE NEED
13. A Master's degree in computer science or equivalent
14. The willingness and ability to work in a team with strong communication and hands-on mentality
15. The ability to think and work in a well-organized, structured, independent and self-driven manner while aligning proactively with your team
16. A strong software development background and strong programming skills
17. Five or more years of working experience as a DevOps engineer or in a similar position
18. Extensive experience working with Hadoop clusters and with data storage (e.g. HDFS)
19. Extensive knowledge in information systems theory (e.g. relational databases, distributed systems) and working with data (e.g. modeling)
20. The ability to write efficient, well-tested code with a keen eye on scalability and maintainability in Python and bash
21. Experience in software development practices and tools (e.g. Kubernetes, pull request reviews, CI/CD, agile as in agile manifesto not Scrum)
22. Good Linux knowledge
23. Speaking English fluently is a must-have, good spoken and written German is a plus
THAT SPEAKS FOR US
24. A secure, permanent job in an internationally operating company in a future-proof industry that is characterized by growth
25. Participation in shaping the digital transformation in an innovative company
26. Permanent employment contract with 30 days of vacation, an attractive salary and further training opportunities/career model
27. A structured onboarding and mentoring program in a great team with international colleagues, a “Duz Kultur” and open doors
28. Numerous benefits, such as a 30% staff discount at our NEW YORKER stores, company and team events, and canteens with a diverse food selection
GET IN CONTACT
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