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 team-oriented 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 creative projects.

📌 Data Engineer I At Td Toronto (Canada)
🏢 The Toronto-Dominion Bank (Canada)
📍 Canada