Senior Data Engineer

Job Title: Senior Data Engineer (GCP)
Location: Toronto, ON
Duration: Full Time


Required Skills and Responsibilities:

Experience in using Public Cloud services.
Certification in GCP (GCP Cloud Associate) is required.
Experience in using Infrastructure as Code tooling Like Terraform.
Experienced in Talend ETL tool.
Experience in DevOps tooling like GitHub, GitHub Actions, Cloud Build and Terraform Cloud is a positive.
Proficiency in languages like Python, Go, or Java is crucial.
You’ll be automating tasks, creating scripts, and developing infrastructure as code.
Experience with Docker is a must - including setting up and managing Docker registries as well as creating Docker files to create custom images.
Experience on setting up Kubernetes or similar platform on premise/cloud (On-prem Rancher experience is a plus)
General Understanding of continuous integration/continuous deployment (CI/CD) pipelines and how to optimize them for faster software delivery.
Should have knowledge of overlay networking needed for inter-container communications from different nodes as well as external servers/infrastructure
Experience building CI/CD pipelines using GitHub, Artifactory etc. to reduce cycle times and ensure quality.
Experience automating systems deployments and configuration management using tools like Ansible, Chef, Puppet, Terraform, Salt stack.
Strong scripting skills (i. e. shell scripting, Python, Perl, Ansible) for automation.
Working experience with source control systems like Git.
Exposure to working on cloud platforms like Azure/GCP/AWS
Experience with Agile/Scrum development methodologies Team player with effective communication skills (verbal and written)
Able to see tasks through to completion without significant guidance.
Self-managed and results-oriented with a sense of ownership is required.


Roles and Responsibilities:

The cloud engineer and data engineer will work together under the guidance of our technical lead on the project to provide a conceptual infrastructure solution for the project.
They will look at integration into the existing framework and assess/mitigate risk points.
The incumbent will be working with Scotiabank architecture teams to ensure alignment with the technology and business roadmap set for Group Treasury.

Data science