Become a part of TD’s creative Data Strategy & Implementation team as a Data Engineer I in Toronto, Ontario. This hybrid position offers hands-on opportunities in building effective ETL pipelines using advanced tools.

As an Entry-Level Data Engineer, you will play a key role in transforming raw data into valuable business assets. Join a supportive group of professionals who thrive on solving complex data challenges and enhancing data reliability. Your efforts will directly impact analytics, reporting, and AI models by ensuring data integrity throughout the pipeline.

Key Responsibilities:
• Design and build ETL processes with Databricks
• Integrate new sources into our data framework
• Ensure secure data access and connectivity




• Develop performance-optimized ETL code in Python
• Engage collaboratively with platform and networking teams

Requirements:
• Experience with Azure Databricks and Data Factory
• Strong grasp of Python, Spark, and database technologies
• Capable of troubleshooting SQL and connectivity issues
• Familiarity with networking fundamentals and APIs
• Interest in data governance and quality assurance

Join TD to contribute to impactful data engineering and growth in a collaborative environment!
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📌 Entry-Level Data Engineer at TD Toronto (Ontario)
🏢 TD
📍 Ontario