Job Title

Title : Data Engineer Location: Toronto, Canada (5 Days Onsite) Duration : Fulltime Interview :Video Job Description: Required skills and experienceData Engineering & SnowflakeDesign, develop, and maintain scalable data pipelines using SnowflakeImplement efficient ELT/ETL processes for structured and semi-structured dataOptimize Snowflake performance (clustering, partitioning, query tuning, cost optimization)Manage data ingestion using tools like Snowpipe, Streams, and TasksCloud & ArchitectureBuild and manage data solutions on Amazon Web Services / Azure / GCPDesign modern data architectures (Data Lake, Lakehouse, Data Warehouse)Ensure scalability, reliability, and security of data platformsData Science & Machine Learning EnablementCollaborate with data scientists to support model development and deploymentBuild and maintain feature engineering pipelines for ML modelsEnable data availability for training, validation, and inference workflowsUnderstand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)Advanced Analytics & ModelingDesign and maintain data models for analytics and ML use casesWork with large-scale datasets using SQL, Python, and distributed computing frameworksSupport real-time and batch data processingData Science & Machine Learning EnablementCollaborate with data scientists to support model development and deploymentBuild and maintain feature engineering pipelines for ML modelsEnable data availability for training, validation, and inference workflowsUnderstand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)Advanced Analytics & ModelingDesign and maintain data models for analytics and ML use casesWork with large-scale datasets using SQL, Python, and distributed computing frameworksSupport real-time and batch data processing