Found Description
Become a Lead Full-Stack Data & AI Engineer at a top-notch digital consultancy in the Greater Toronto Area. This hybrid position encompasses the complete data product lifecycle from ingestion to front-end consumption.
As a key player in the organization, you will have over 8 years of hands-on experience in data platform development. You'll design scalable data pipelines, build RESTful APIs, and support the integration of machine learning use cases. Your solid Python skills and familiarity with Azure environments will be essential for this role as you produce advanced data-driven solutions that align with business needs.
Key Responsibilities:
• Own the complete data lifecycle from requirements to optimization
• Build and maintain scalable data ingestion and transformation pipelines
• Develop interactive dashboards using Power BI or similar tools
• Implement and manage RESTful APIs with FastAPI
• Deploy applications within Azure Kubernetes Service
Requirements:
As a key player in the organization, you will have over 8 years of hands-on experience in data platform development. You'll design scalable data pipelines, build RESTful APIs, and support the integration of machine learning use cases. Your solid Python skills and familiarity with Azure environments will be essential for this role as you produce advanced data-driven solutions that align with business needs.
Key Responsibilities:
• Own the complete data lifecycle from requirements to optimization
• Build and maintain scalable data ingestion and transformation pipelines
• Develop interactive dashboards using Power BI or similar tools
• Implement and manage RESTful APIs with FastAPI
• Deploy applications within Azure Kubernetes Service
Requirements:
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