Elevate your data engineering career as a Lead Data Engineer at PureFacts Financial Solutions in Toronto. This role emphasizes building data pipelines using Snowflake and Azure, offering collaborative growth opportunities.
At PureFacts, you will play a key role in enhancing data infrastructure by developing, maintaining, and optimizing data pipelines. Working closely with data scientists and analysts, you will ensure reliable data flow, focusing on tools like DBT, Azure Data Factory, and Snowflake. Join a company committed to AI-driven processes, enhancing operational efficiency in wealth and asset management.
Key Responsibilities:
• Design and maintain data pipelines with Snowflake and Azure
• Develop data transformation logic using DBT




• Integrate data from various sources into Snowflake
• Troubleshoot data pipeline issues for accuracy
• Collaborate on best practices for data governance
Requirements:
• Bachelor’s degree in relevant field
• Experience in programming languages, e.g., Python
• Familiarity with ETL/ELT, data warehousing
• Basic SQL and relational database knowledge
• Eagerness to learn Snowflake and Azure skills
Enhance your technical toolkit and contribute to PureFacts' cutting-edge data solutions in Toronto.
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📌 Lead Data Engineer at PureFacts (Toronto)
🏢 PureFacts Financial Solutions
📍 Toronto