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Data Platform Engineer
TucowsData Platform Engineer at Tucows building reliable data systems and helping data teams accelerate their work. Collaborating with various technical teams in a remote-first environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and DevOps practices, with a strong focus on infrastructure automation using Terraform and AWS. Proficient in Python for automation and operational documentation, while ensuring effective governance controls and troubleshooting of systems.
Highest-signal resume keywords
AWS Cloud OperationsTerraform Infrastructure-as-CodePython AutomationKubernetes DeploymentRBAC and Governance Controls
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringDevOpsPythonTerraformSQLKubernetesCI/CD AutomationInfrastructure MonitoringTroubleshootingLogs and Metrics Analysis
Soft Skills
Attention to DetailCuriosityGood JudgmentEagerness to LearnClear Written Communication
Tools & Technologies
AWSTerraformKubernetesGitAI-assisted Engineering Tools
Industry Keywords
Infrastructure MonitoringRole-based Access ControlGovernance ControlsCloud ProviderProduction Incidents
Tech Stack
Tools & technologiesAWSCloudKubernetesPythonSQLTerraform
About the role
Key responsibilities & impact- Monitor infrastructure and pipelines, respond to issues, troubleshoot failures from logs and metrics.
- Build, review, and deploy infrastructure through code using Terraform, AWS, Kubernetes.
- Write Python, bash, and CI/CD automation.
- Help design and operate role-based access control and governance controls.
- Build, operate, and troubleshoot pipelines and transformations.
- Help move workloads from our legacy stack to the modern data platform.
- Write clear runbooks, platform documentation, and operational guides.
- Work with AI-assisted engineering tools to improve engineering workflows.
Requirements
What you’ll need- 3+ years in data engineering, software engineering, DevOps, platform engineering, or a related technical role.
- Hands-on experience operating workloads in AWS or another major cloud provider.
- Proficiency in Python for automation, internal tooling, platform workflows, or data engineering support.
- Working knowledge of SQL. Advanced SQL is a plus, but not a prerequisite.
- Hands-on experience with Terraform or another infrastructure-as-code tool.
- Comfortable using Git-based development workflows.
- Good working knowledge of Kubernetes and container-based deployments.
- Skilled at using logs, metrics, and alerts to investigate failing systems.
- Familiarity with RBAC, IAM, least-privilege access, or governance controls.
- Attention to detail, curiosity, good judgment, and eagerness to learn.
- Experience working with vendor support, production incidents, and operational follow-through.
- Willingness to participate in on-call and after-hours support as needed.
- Clear written communication and ability to work effectively in a remote-first team.
Benefits
Comp & perks- We embrace a people-first philosophy that is rooted in respect, trust, and flexibility.
- We believe that whatever works for our employees is what works best for us.
- Most roles are remote-first.