Data Engineer

Position: Data Engineer I at TD
Elevate your data engineering career at TD in Toronto, Ontario. This hybrid role focuses on designing ETL pipelines and utilizing Python alongside Azure tools to create trusted data products.

As a Data Engineer I, you will join the Data Strategy & Implementation team and work closely with data engineers and analysts. Your primary responsibilities include onboarding new data sources and building Databricks notebooks for efficient data processing. Foster collaboration with various teams to ensure data flows securely and timely, impacting analytics and reporting directly.

Key Responsibilities:

• Design and debug Databricks notebooks and ETL pipelines

• Onboard new data sources into the ingestion framework

• Ensure secure connectivity to source systems and data

• Write high-performance ETL code using Python and Spark

• Collaborate with platform and networking teams for delivery

Requirements:

• Hands-on experience with Azure Databricks and Data Factory

• Strong Python programming with Spark and Py Spark

• Knowledge of relational databases and SQL

• Understanding of networking fundamentals for secure access

• Familiarity with API basics and auth patterns

Drive your career forward with impactful data engineering and collaborative teamwork at TD!
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