Data Engineer
📍
Toronto, Ontario, Canada
🧪
Mid-Senior level
Day to Day
- Set up environment, configure, test, debug and document in order to ensure successful implementation and maintenance of the service during/post projects.
- Following Agile methodologies
- Work with designers to ensure everything is clear to move forward with execution.
- Work with consumers to integrate using existent patents for certified protection.
Must Haves
3-5 years with the following:
- Linux OS, Shell scripting
- Strong Azure knowledge/experience (firewall rules, network peering, etc.)
- Strong knowledge of REST APIs
- DevOps understanding: CI/CD, Github, Jenkins, etc.
- Kubernetes
- Oracle, SQL, Load balancers, Active Directory, SSO
- Hands on experience with similar projects, needs a positive attitude & good mindset.
- Mindset > Technology
Plusses
- Java/Python
- Security experience
- Certifications: Azure, Kubernetes