Overview
Data Scientist Jobs in Toronto, Ontario, Canada at Envision Technology Solutions
Title: Data Scientist
Company: Envision Technology Solutions
Location: Toronto, Ontario, Canada
Title : Data Engineer/Data Scientist
Location: Toronto, Canada (5 Days Onsite)
Duration : Fulltime
Interview :Video
Job Description:
Description :
Note: Although the role title is “Data Engineer”, we are looking for candidates with strong database development and Python engineering experience. Preferred profiles include Data Engineers / Data Scientists with hands-on experience in Snowflake, SQL, data modeling, and building scalable data solutions and tools on top of modern data platforms. Data Engineering & Snowflake
Design, develop, and maintain scalable data pipelines using Snowflake
Implement efficient ELT/ETL processes for structured and semi-structured data
Optimize Snowflake performance (clustering, partitioning, query tuning, cost optimization)
Manage data ingestion using tools like Snowpipe, Streams, and Tasks
Cloud & Architecture
Build and manage data solutions on Amazon Web Services / Azure / GCP
Design modern data architectures (Data Lake, Lakehouse, Data Warehouse)
Ensure scalability, reliability, and security of data platforms
Data Science & Machine Learning Enablement
Collaborate with data scientists to support model development and deployment
Build and maintain feature engineering pipelines for ML models
Enable data availability for training, validation, and inference workflows
Understand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)
Advanced Analytics & Modeling
Design and maintain data models for analytics and ML use cases
Work with large-scale datasets using SQL, Python, and distributed computing frameworks
Support real-time and batch data processing
Data Science & Machine Learning Enablement
Collaborate with data scientists to support model development and deployment
Build and maintain feature engineering pipelines for ML models
Enable data availability for training, validation, and inference workflows
Understand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)
Advanced Analytics & Modeling
Design and maintain data models for analytics and ML use cases
Work with large-scale datasets using SQL, Python, and distributed computing frameworks
Support real-time and batch data processing
