SRQ129161 - Data engineer/system admin

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Data engineer/system analyst
Context of the position
A sub-department within the IT organization is IT Competence Center Big Data & Advanced Analytics. Their vision is that they want to unleash the power of innovative data analytics & collaboration to make a difference. They do this by providing high end analytics capabilities and collaboration services to the eco-system"

The Data engineering ops expert will be part of the Data analytics lab devops team (8 fte) which is part of the Competence Center Big Data & Advanced Analytics.

Are you challenged by driving Engineering Improvements and are you able to translate this into an operational environment for data engineering and data science? Then the data analytics lab is the perfect environment for you to build and deploy solutions in close collaboration with data engineers and data scientist that are in need of your solutions fast.
Job Mission
Co-Develop, implement, deploy and maintain the data analytics lab in close co-operation with the internal customer and the solution team.  This also includes edge computing platforms and IIOT platforms located close to the asset install base.
Job Description
As Data engineering Ops engineer you will develop, extend, implement, deploy and maintain the data engineering and data science environment for  data analytics lab and edge computing. Your focus will be on working with the internal customer to optimize their data engineering and data science work. You will work closely together with the data analytics lab system engineers and application support specialist to identify usability bottlenecks and will also drive the architectural evolution of the system to maximize framework and pipeline manageability. You will be part of the devops team for the data analytics lab and HPDA (high performance data analytics) ecosystem and in that role also work closely together with all member of the team on all relevant stories in our sprints.

Besides this your responsibilities include:
- Define improvement proposals that focus on usability and stability for the data engineering and data science ecosystem;
- Strong partner in discussions with solution team system architect and other stakeholders within the internal customer departments;
- Drive progress towards internal and external partners for implementation of improvements;
- Keep abreast with relevant literature, means and methods;

Education: At least master level or equivalent in computer science and/or Engineering. 
Particularly relevant areas of expertise might include: 
At least 5 years of relevant experience as data engineering ops specialist;
Experience administering bare-metal, virtualized and containerized environments;
Provisioning (preferred ansible);
Deployment in a HA linux environment;
Linux networking: firewall config, DNS, NTP, subnet’s;
Linux security: authorization and authentication;
Linux system monitoring frameworks;
Experience with deploying and maintaining data engineering frameworks;
Experience with Mesos DC/OS is a pre;

Personal skills
Highly motivated team player.
Shows initiative and problem solving attitude.
Vision and opinion.
Independent, accurate, systematic approach, problem solving.
Pragmatic, practical, flexible and committed to quality.
Excellent communication skills and proficiency in the English language.

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