Cloud Data platform engineer

continuously improving, monitoring, maintaining, and extending the individual elements of the Data Ecosystem infrastructure in the cloud, e.g., cloud storage, file event queues, and databases, etc. 

ensuring that the Data Ecosystem is secure, stable, cost effective, scalable and help our users with guidance to use the services optimally 

collaborating with architects to set guidelines and standards for the Data Ecosystem 

troubleshooting tickets and incidents reported by data engineers relating to the platform and helping them succeed with their deliveries 

build and maintain pipelines that can provision technical products to those using Infrastructure as Code. 

Requirements:

To succeed in the role, you:  

have experience using Kubernetes, Docker, relational databases (modelling, performance tuning) and private networking as well as deploying, maintaining, monitoring, and securing cloud resources, preferably on Azure

have experience with automation, version control, DevOps, IaC and CI/CD (e.g., using Azure DevOps, GitHub, GitHub Actions, Terraform) . AWS experience as a bonus 

have experience in scripting languages (e.g., Bash, PowerShell, and Azure CLI) and it is a big plus also having experience with software development, preferably using Python 

have good understanding of Data Engineering practices such as data analytics, data processing tools, ETL, ELT etc. 

enjoy collaborating on features and user stories with your colleagues in the team, and can show transparency with your work through documenting and communicating it clearly, both in meetings, comments, chats, and pull requests