Python Engineer

Title: Data /Python/Platform Engineer

Location: Toronto, Canada (5 Days Onsite)

Duration: Full Time

Technical Skill

• sExperience 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

.

Responsibilities and Duti

• es

Collaborate with internal stakeholders to translate business and analytical requirements into well-defined backend features and data produc

ts.Design and deploy scalable microservices within the FastAPI ecosystem, establishing clear service boundaries for domain-specific and ensuring loose coupling through well-defined API contrac

ts.Design and develop Snowflake-native applications including Snowpark (Python), stored procedures, tasks, streams, and dynamic tables to support day-end and processing engines that run natively within the Snowflake compute lay

er.Design and implement RESTful API endpoints using FastAPI, ensuring data contracts are clearly defined, versioned, and documented via OpenAPI/Swagg

er.Write and optimize SQL queries against Snowflake and PostgreSQL for reporting, aggregation, and analytical use cas

es.Own end-to-end feature delivery: from requirements gathering and API contract definition through implementation, testing, and deployme

nt.Ensure platform security by applying best practices around authentication, authorization (RBAC), input validation, and safe error handling, aligned with OWASP Top

10.

Qualifications and Sk

• ills

Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, Information Systems, or a related discip

line.7-8 years of professional Data Platform Engineering experience, with demonstrated delivery of production-grade web applicat

ions.Experience in the Payments or Fintech industry would be a strong a

sset.Proficiency in Python for backend development, including FastAPI, async patterns, and Pydantic-based data valida

tion.Understanding of REST API design, OpenAPI specifications, and API integration patterns in frontend applicat

ions.Knowledge of authentication and authorization patterns including JWT, OAuth2, and role-based access con

trol.Experience with Docker and Docker Compose for local development and containerized deploym

ents.