Data Platform Engineer

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.

Responsibilities and Duties :

• Collaborate with internal stakeholders to translate business and analytical requirements into well-defined backend features and data products.
• Design and deploy scalable microservices within the FastAPI ecosystem, establishing clear service boundaries for domain-specific and ensuring loose coupling through well-defined API contracts.
• 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 layer.
• Design and implement RESTful API endpoints using FastAPI, ensuring data contracts are clearly defined, versioned, and documented via OpenAPI/Swagger.
• Write and optimize SQL queries against Snowflake and PostgreSQL for reporting, aggregation, and analytical use cases.
• Own end-to-end feature delivery: from requirements gathering and API contract definition through implementation, testing, and deployment.
• Ensure platform security by applying best practices around authentication, authorization (RBAC), input validation, and safe error handling, aligned with OWASP Top 10.

Qualifications and Skills :

• · Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, Information Systems, or a related discipline.
• 7-8 years of professional Data Platform Engineering experience, with demonstrated delivery of production-grade web applications.
• Experience in the Payments or Fintech industry would be a strong asset.
• Proficiency in Python for backend development, including FastAPI, async patterns, and Pydantic-based data validation.
• 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