Our Client is an international company from Technology sector, that is cooperating with their business partners world wide. They are supporting many differents sectors and technologies such as Software Development, AI, Data.
Technologies we use
Expected
Python
Your responsibilities
Design, update and maintenance of the Data Analytics Workspace (DAWS), an Azure Machine Learning workspace, which allows data scientists to analyse their data & RPMDA tools, a python package to simplify working with the data platform
Support the on-boarding of data scientists to DAWS
Investigate and fix issues reported by data scientists
Participate in Scrum ceremonies to achieve sprint goals
Conduct code reviews and guide deep technical discussions
Create and maintain DAWS training material
Gain expert knowledge in key software components & services
Collaborate with colleagues across multiple product teams (e.g. DevOps, Data Engineers, Data Scientists, Cloud Engineers, Solution Architects, and Python Engineers)
Employer requirements
Multi-year experience with Python for software development (knowledge of poetry, pandas, DASK is welcomed)
Experience with large scale cloud based solutions (particularly Microsoft Azure)
Ability to work in a team, manage competing priorities, and communicate effectively with both technical and non-technical stakeholders
Expertise in agile software development methodologies (e.g. SCRUM) and DevOps based development lifecycles preferred
Experience with Git, Docker, CI/CD solutions (e.g. Gitlab, Azure DevOps), Kubernetes, MongoDB, Azure Machine Learning, preferred but not required
R knowledge would be an asset but not a requirement
Fluent in English
Work organization
Work style
you have influence on the choice of tools and technologies