Ops Engineer in Streaming Data Analytics
Ops Engineer in Streaming Data Analytics
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Job Description
We are looking for you if:
you tick the bigger part of these boxes:
- Education:
- Bachelors degree in IT or equivalent
- Technology tools and process knowledge:
- ITIL knowledge (Incident Problem and Change Management)
- ELK stack
- Azure DevOps Pipelines
- Docker / Kubernetes / Openshift
- Kafka
- Azure DevOps
- Unix/Linux and bash scripting
- Proficient in one or more programming languages (Java Python)
- Good working knowledge of Unix
- Coaching skills
- Mentoring and training consumers in the use of our platform
- Facilitation skills
- Mindset & soft skills
- Willingness to do a deep dive into the internals of Apache Flink
- Automation mindset & waste buster
- Proactive attitude always on the lookout for improving your and our way of working
- Diplomacy and good communication skills
- Not shy to express and defend his/her opinion in front of a crowd (even if it is not the popular opinion)
- Analysis capabilities and testing abilities
Youll get extra points for:
- being Communicative articulative proactive teamplayer and easy to approach.
Your responsibilities:
As an Ops engineer you will work in a multidisciplinary squad of Ops and Dev engineers and will be responsible for improving the platform experience of our consuming teams starting at their onboarding process throughout their entire lifecycle. You will use feedback from consuming teams as well as from your own team metrics and logs from the system as input to further improve the scalability and resilience of the platform. You will either implement the improvements yourself and/or will work with your SDA squad members.
Your duties:
- Improving the way we support our users
- Improving the way we run our platform and its resilience
- Performing problems root cause analysis and collaborate with the team on permanent solutions.
Informationaboutsquad:
Streaming Data Analytics (SDA) is a platform developed internally within ING aimed at getting real time insights based on real time data. The underlying technology is based onApache Flink andApache Kafka deployed using Microsoft DevOps on a Openshift cluster on our internal private cloud and soon also on the public cloud. Users of the platform are other teams within ING spread across various domains and countries that use the SDA platform for purposes like fraud detection KYC and generating realtime actionable insights.
We are looking for an Ops engineer with a drive to help us mature our Streaming Data Analytics platform as part of the bigger ING Banking Technology Platform that enables ING to become a truly global bank.
The role naming convention in the global ING job architecture will be Engineer III.
Employment Type
Full-Time
