

Data Engineer / Scientist (m/w/d)
- Working with Team of Data Scientist and Data Engineer in building the Image & Video processing platform for Energy Networks business
- Working to provide latest development toolset on Azure to the team.
- Strong analytical and problem-solving skills
- 'Hands-on experience on various Azure cloud components such as: Azure Data Lake, Azure Data Factory, Azure HDInsight, Azure EDW, Databricks, and Azure functions Familiar with CI/CD - Continuous Delivery and Continuous Integration technologies (Gitlab and/or Azure Devops)
- Experience working within a DevOps/DataOps environment
- Knowledge of Bash-Scripting language / programming languages such as: Java, Scala, C#, Python or Groovy, bash for CI/CD pipelines
- Knowledge of configuration of deployment pipelines with CI/Build/Release management
- Knowledge in monitoring, deployment and administering various platforms (big plus for Kubernetes and AKS especially, creating Docker images, Kubernetes deployments)
- Knowledge of networking in Azure (VPN, VNET, NSG)
- Knowledge of databases administration + SQL (stored procedures, querying data, modifying existing tables)
- Knowledge of configuring, running and debugging applications
- Familiar with Configuration Management tools
- Adept of automating manual processes
- Knowledge of working with Atlassian suite (JIRA/Confluence)
- Experience of Agile working environments – Scrum or Kanban
- Strong analytical and problem-solving skills
- Azure certifications will be a big plus.
- Large Energy Company
- Remote work
- Good Chance of follow up Projects
Referenznummer
557845/1
Kontakt aufnehmen
Telefon:
+ 49 621 1788-4297
E-Mail:
positionen@hays.de
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