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.

📌 Toronto Data Engineer for Snowflake Solutions
🏢 Princeton IT Services
📍 Toronto