Jobs / TD
Google Big Data Platform Engineer II
TD · Toronto, ON, Canada
Toronto, ON, CanadaExp: 1+ yrs126,800-164,100 CAD/yearlyOnsite
Remuneration
$126,800 - $164,100 CAD; variable compensation, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs
Location
Toronto, ON, Canada
Visa sponsorship
Not specified
Job summary
Build and improve multi-cloud platform capabilities for Google BigQuery, delivering secure enterprise solutions in financial services with engineering teams and business partners. Develop orchestration code and automated tests using Python, Terraform, Google Cloud SDK, and GitHub Actions; integrate Azure and GCP data services, identity systems, security controls, and networking while improving self-service automation.
Benefits
Health and well-being benefitsSavings and retirement programsPaid time offBanking benefits and discountsCareer developmentReward and recognition programs
Qualifications
- At least 1 year of experience developing Infrastructure as Code orchestration with Python SDKs, Terraform, and CI/CD tools.
- At least 1 year of experience writing automated tests for cloud security policies and business features.
- Experience with cloud IAM and enterprise identity provider integration, including Google Cloud IAM, Active Directory, or PingFederate.
- Knowledge of Azure and GCP security, networking, certificates, and PKI.
- Proficiency with cloud command-line interfaces and SDKs, including Azure CLI and gcloud CLI.
- Knowledge of CI/CD pipelines and the software development lifecycle.
- Experience working in Agile Scrum teams.
- Strong communication, critical thinking, analytical, and problem-solving skills.
- Ability to work independently and collaboratively.
Responsibilities
- Develop and maintain cloud orchestration code using Google Cloud SDK, Terraform, and GitHub Actions.
- Design automated tests for security policies, business features, and GCP BigQuery integrations.
- Implement secure access management using GCP IAM and enterprise identity systems.
- Troubleshoot cloud networking components, including VPCs, firewall rules, and DNS.
- Develop APIs, SDKs, and webhooks to integrate cloud platforms with enterprise systems and DevOps tools.
- Manage cloud security controls, including Secret Manager, PKI, encryption, and VPC Service Controls.
- Improve self-service automation for platform services and reduce manual intervention.
- Provision and manage Azure and GCP resources using Terraform.
- Integrate data services across Azure and GCP, including Databricks, Data Factory, Azure ML, BigQuery, Pub/Sub, Dataflow, and Vertex AI.
- Apply internal security and compliance controls to cloud solutions.
Skills
AzureBigQueryCloud DNSDatabricksGCPGitGitHubGitHub ActionsIAMPub/SubPythonTerraformOpenAPIRESTSecrets Manager
Industry
Financial services
Relocation
No