Data Platform Engineer
Position: Contract
Location: Downtown Toronto
Duration: 12+ months
Job description:
Technical Skills
Experience designing and implementing microservices architectures, including service discovery, inter-service communication, API versioning, and distributed tracing/logging for observability.
Proficiency in Python for backend development, including FastAPI async patterns, and Pydantic-based data validation.
Hands-on experience with SQL and analytical databases for writing optimized queries, aggregations, and data transformations.
Experience developing Snowflake-native applications: stored procedures (JavaScript/Python), Tasks, Streams, Dynamic Tables, and Snowpark for building backend processing engines.
Understanding of REST API design, OpenAPI specifications, and API integration patterns in frontend applications.
Knowledge of authentication and authorization patterns including JWT, OAuth2, and role-based access control.
Experience with Docker and Docker Compose for local development and containerized deployments.
Familiarity with CI/CD pipelines for automated testing and deployment.
Experience with version control using Git, including branching strategies and code review workflows.
Ability to work with cloud platforms (AWS, Azure, or GCP) for data storage, compute, and deployment.
Qualifications and Skills
Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, Information Systems, or a related discipline.
5-7 years of professional full stack development experience, with demonstrated delivery of production-grade web applications.
Experience in the Payments or Fintech industry would be a strong asset.
Proven ability to work independently, manage multiple concurrent workstreams, and deliver with minimal oversight.
Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical audiences.
Unquestionable personal and business ethics and integrity.
Data Platform Engineer - Downtown Toronto • Toronto, ON, Canada
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