Join our cutting-edge data team as a Mid-Level Data Engineer, focusing on crafting scalable pipelines using Python, SQL, and Snowflake. Collaborate closely with business stakeholders for impactful data solutions. We are seeking an experienced data engineer who will design, develop, and optimize robust ETL/ELT pipelines.

Your role involves building data models within Snowflake, monitoring existing pipelines, and supporting visual reporting initiatives using Power BI or Tableau. A solid background in the required technologies and collaboration skills is vital for success in this position. Key Responsibilities:

- Design and maintain ETL/ELT pipelines using Python and SQL
- Build optimized data models in Snowflake for analytics




- Collaborate with BI developers on reporting needs
- Implement data quality checks and validation processes
- Monitor and enhance existing data pipelines for reliability Requirements:
- 5-8 years of Data Engineering experience
- Proficiency in Python and SQL
- Hands-on experience with Snowflake and DBT
- Familiar with Power BI or Tableau for data visualization
- Strong analytical and problem-solving skills Optimize your data engineering career with hands-on experiences in ETL, data modeling, and cloud technologies.

📌 Mid-Level Data Engineer at Snowflake (Canada)
🏢 Tredence
📍 Canada