Data Engineer
Details
- Status:
- Gearchiveerd
- Publicatiedatum:
- 9-9-2020
- Weergaven:
- 110
- Reacties:
- 2
- FTE:
- 40 uur per week
Opdrachtomschrijving
For one of my global, high tech clients in Brabant (Netherlands), I am looking for an experienced data engineer with at least 5 years of experience to join their fantastic team of devOps/data specialists to Co-Develop, implement, deploy and maintain the analytics platform.
- Location
Brabant
- Startdate
01-10-2020
- End date
31-03-2021
- Extension
Yes
Job Description
As Data engineer you will develop, extend, implement, deploy and maintain ADAP for ASML. Your focus will be on working with the internal customer to optimize their data science work and enable them on the platform. You will work closely together with the data analytics platform system engineers and pipeline 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 ADAP application enablement 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 with a focus on MATLAB;
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.
Experience
Particularly relevant areas of expertise might include
At least 5 years of relevant experience as data engineering specialist;
Experience deploying and maintaining data science frameworks;
python;
matlab;
kubernetes;
deep learning frameworks;
containers (docker and/or singularity)
GPU computing;
Experience with executing data science work is a pre;