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Senior Full-Stack Data Engineer
Job Description & How to Apply Below
Advance your career at Bridgenext as a Senior Full-Stack Data & AI Engineer. This hybrid role located in the Greater Toronto Area requires a blend of data engineering and AI expertise to craft sophisticated solutions.
You will be responsible for managing the entire data product lifecycle from ingestion to deployment in a cloud-native Azure ecosystem. Your strong hands-on experience in Python and development of RESTful APIs with FastAPI will be essential in creating high-quality data assets. Collaborate across teams while ensuring data is governed and aligned with business outcomes.
Key Responsibilities:
• Develop end-to-end data engineering solutions
• Maintain RESTful APIs with advanced functionality
• Construct scalable data pipelines in Python
• Design front-end applications for data access
• Operate on Azure Kubernetes Service for deployments
Requirements:
• Over 8 years in data engineering or related roles
• Proficient in SQL and hands-on with No
SQL databases
• Familiarity with Azure OpenAI and ML applications
• Strong Python coding and data product mindset
• Experienced with containerization on AKS
Lead impactful data initiatives at Bridgenext and drive meaningful business outcomes.
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Position Requirements
10+ Years
work experience
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