Build scalable data solutions in Toronto with Snowflake, DBT, and advanced SQL expertise. This onsite Data Engineer role requires five years of experience.

The Data Engineer position focuses on designing, developing, and maintaining scalable data solutions. Strong hands-on Snowflake and DBT experience is required. The work also involves complex SQL extraction, transformation, validation, performance optimization, ETL/ELT concepts, data integration, and data quality processes.

Key Responsibilities:

- Design scalable data solutions using Snowflake and DBT
- Develop data solutions supporting stated business requirements
- Maintain data solutions across ongoing data operations
- Extract and transform complex datasets with SQL
- Validate data and optimize query performance

Requirements:

- Five years of Data Engineer experience
- Solid hands-on experience with Snowflake and DBT
- Proficiency in SQL for complex data work
- Understanding of ETL/ELT concepts and data integration
- Knowledge of data quality processes

Apply Snowflake, DBT, SQL, and data integration expertise as an onsite Data Engineer in Toronto.

📌 Snowflake DBT Data Engineer Toronto (Mississauga)
🏢 eTeam
📍 Mississauga