Become a key player in data engineering with TD in Toronto. As a Data Engineer I, you will design and debug ETL pipelines while ensuring data integrity and security.
Join TD’s CPB Data team, where you'll work in a cooperative environment with skilled data engineers and analysts. This role involves onboarding new data sources, building Databricks notebooks, and ensuring reliable data flows for business intelligence and analytics. With a focus on AI tooling and performance tuning, you'll help establish secure connections to various databases and APIs.
Key Responsibilities:
• Design and debug ETL pipelines using Databricks and Azure
• Onboard new sources into the ingestion framework
• Establish secure database connectivity and manage access




• Write scalable ETL code in Python, Spark, and PySpark
• Maintain pipeline reliability and troubleshoot performance issues
Requirements:
• Hands-on experience with Azure Databricks and Data Factory
• Strong Python skills and familiarity with Spark
• Knowledge of SQL and relational databases
• Understanding of networking fundamentals
• Experience with APIs and secure coding practices
Be part of a critical team that shapes reliable data assets and contributes to TD's innovative projects.
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📌 Data Engineer I at TD Toronto
🏢 The Toronto-Dominion Bank (Canada)
📍 Toronto