Take on the role of Data Engineer in Toronto, ON, focusing on delivering innovative 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.



Cooperative work with internal teams will be crucial for defining features and enhancing platform capabilities.Key Responsibilities:Architect and deploy Snowflake data models and schemasCreate and manage ETL/ELT processes using Snowpipe and dbtEnhance query performance and scalability within data operationsImplement solid data governance and security protocolsBuild automated deployment processes using Terraform and CI/CD toolsRequirements:Extensive Snowflake experience in productionStrong capabilities in Python and SQL performance tuningProficient in cloud platforms such as AWS, Azure, or GCPFamiliar with data modeling and governance principlesExperience with CI/CD processes in data environmentsBring your data engineering expertise to develop transformative Snowflake solutions that impact business analytics.

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