Title: Data Engineer
Location: Toronto, Canada (5 Days Onsite)
Duration: FTE
We are looking for a candidate from Data Scientist and Developer background, should have experience in Machine Learning and Snowflake)
Job Description:
Should have experience on the following:-
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 / Google Cloud Platform
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
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