Data Engineer

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