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 collaborative workplace 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.

📌 Data Engineer I at TD Toronto
🏢 The Toronto-Dominion Bank (Canada)
📍 Toronto