icims
Senior Full-Stack Data & AI Engineer
Bridgenext Digital Engineering
Toronto, CAN
Full-time
Senior · 8+ years experience
Hybrid
CAD 130000-150000 yearly / year
Discovered 3 weeks ago
PythonFastAPIReactPostgreSQLMySQLSQL Server
Free
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PythonFastAPIReactPostgreSQLMySQLSQL Server
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Workplace
- Hybrid in the Greater Toronto Area
Must Have Skills
- 8+ years of professional experience in data engineering, analytics engineering, or full-stack data platform development
- Experience building or supporting dashboards and data-driven applications using tools such as Power BI, React, or similar frameworks
- Strong experience building RESTful APIs using FastAPI
- Expertise in SQL databases (PostgreSQL, MySQL, SQL Server) with strong data modeling skills (conceptual, logical, physical models and semantic layers)
- Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis for diverse data storage needs
- Hands-on experience deploying containerized data and AI applications on AKS
- Experience enabling ML/LLM use cases including data preparation for training/inference, RAG, chat, and summarization
- Experience integrating data pipelines with Azure OpenAI and other AI services
- Strong proficiency in Python programming with a data product mindset—building reusable, governed, high-quality data assets aligned to business outcomes
Preferred Skills
- Good understanding of Agentic AI frameworks such as LangChain or AutoGen
- Exposure to Agent-to-Agent (A2A) communication and agent scaling
- Azure data platform experience including Data Factory, Synapse, Purview, Entra ID fundamentals, and app registrations
- Knowledge of OAuth2, OIDC, SSO, and SAML configurations; familiarity with data governance and cataloging tools
- P rofessional Skills:
- Solid written, verbal, and presentation communication skills
- Strong team and individual player
- Maintains composure during all types of situations and is collaborative by nature
- High standards of professionalism, consistently producing high quality results
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