Senior Full-Stack Data Engineer Role
Posted 3
views
Summary
Bridgenext is hiring a Senior Full-Stack Data & AI Engineer for a hybrid role in the Greater Toronto Area. The role owns the full data product lifecycle on Azure: building Python data pipelines, RESTful APIs with FastAPI, front-end data access apps, and deployments on Azure Kubernetes Service, with exposure to Azure OpenAI/ML.
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 NoSQL 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.
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 NoSQL 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.