Elevate your career as a Senior Data Engineer in Toronto with a hybrid work model. Join a agile Wealth Technology team and lead cutting-edge data solutions. Our client seeks an experienced Senior Data Engineer for their Data & Analytics team in the financial sector. You will design robust ETL/ELT data pipelines and recommend scalable architectures, leveraging tools like AWS, Snowflake, and Airflow.

Your role will be pivotal in ensure data quality, governance, and fostering a culture of engineering excellence through mentorship. Key Responsibilities:
Design and build ETL/ELT data pipelines
Collaborate with analysts for technical solutions
Recommend data architectures using AWS and Snowflake
Ensure data observability and governance
Mentor junior engineers in best practices Requirements:
8+ years in data engineering roles
Solid skill set in SQL, Python, and Snowflake
Experience in financial services is a must
Knowledge of CI/CD and data monitoring tools
Experience with cloud migration projects Leverage your data engineering skills and innovate within the Wealth Tech industry.

📌 Senior Data Engineer Hybrid In Toronto
🏢 TALENT TO HIRE
📍 Toronto