Take on the role of Data Engineer in Toronto, ON, focusing on delivering cutting-edge Snowflake solutions. Design and implement scalable data architectures that support enterprise analytics initiatives.

This position seeks a highly skilled Data Engineer who specializes in building Snowflake-native solutions, combining data architecture, ETL/ELT pipelines, and data governance. Your expertise will guide the operationalization of high-performing data products while ensuring security and efficiency in analytics operations. Collaborative work with internal teams will be crucial for defining features and enhancing platform capabilities.

Key Responsibilities:
• Architect and deploy Snowflake data models and schemas
• Create and manage ETL/ELT processes using Snowpipe and dbt




• Enhance query performance and scalability within data operations
• Implement strong data governance and security protocols
• Build automated deployment processes using Terraform and CI/CD tools

Requirements:
• Extensive Snowflake experience in production
• Strong capabilities in Python and SQL performance tuning
• Proficient in cloud platforms such as AWS, Azure, or GCP
• Familiar with data modeling and governance principles
• Experience with CI/CD processes in data environments

Bring your data engineering expertise to develop transformative Snowflake solutions that impact business analytics.
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📌 Toronto Data Engineer for Snowflake Solutions (Ontario)
🏢 Princeton IT Services
📍 Ontario