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Bridgenext

Toronto / Global

Senior Full-Stack Data Engineer Role

  • Hybrid

Job Description

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.

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