Senior Manager, Data Engineering
Toronto, ON, CA, M5C2V9
CAD 108K-145K (estimate) Senior-level Full Time
Tasks
- Apply DevOps principles for production support
- Build automated testing and regression suites
- Collaborate with enterprise architects and data engineering teams
- Define cloud native data strategies
- Deliver large-scale multi-year projects
- Design and implement scalable RESTful APIs
- Design data architecture and solutions
- Drive data platform transformation strategy
- Govern API standards with OpenAPI
- Implement scalable secure cost effective data solutions
- Lead recruitment and team development
- Manage engineering team performance and coaching
Perks/Benefits
- Accessibility accommodations
- Cross-functional development opportunities
- Employee resource groups
- Flexible vacation
- Hackathons
- Online courses
- Personal days
- Sick days
- Tuition assistance
Skills/Tech-stack
24 7 Availability | Agile | Artifactory | Automated testing | BigQuery | Bitbucket | Cloud Spanner | Cloud Storage | Cloud platform | DevOps | Docker | Fault-tolerant | Fault-tolerant systems | GCS | Git | Google Cloud | Google Cloud Platform | Gradle | JWT | Jenkins | Low Latency | Low-Latency Systems | Microservices | OAuth2 | OpenAPI | REST APIs | Regression testing | SOLID | Scalable systems | Security Engineering | Spring Boot
Education
N/A
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