Explore data engineering functions at TD in Toronto, Ontario. This role focuses on data modeling, ETL processes, and supporting production data pipelines in a team-oriented environment.
As a Data Engineer II at TD, you will contribute to core data management needs. This position requires a strong background in Databricks, Azure services, and Python, as well as three to five years of relevant experience. You'll engage with cross-functional teams to enhance platform stability and drive improvements in system performance.
Key Responsibilities:
• Monitor and support production data pipelines and workflows
• Troubleshoot Databricks jobs and data processing issues
• Conduct data quality investigations and reconciliations
• Manage incidents and operational issues through resolution




• Partner with DevOps and Infrastructure teams for platform reliability
Requirements:
• Degree in Data Management, Computer Science, or related field
• 3-5 years of hands-on experience in data engineering
• Proficiency in Databricks, Spark, and Python
• Familiarity with Azure Data Platform and CI/CD practices
• Strong communication skills for stakeholder engagement
Contribute your expertise in data engineering to improve TD's data management systems while developing your career in a leading global financial institution.
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📌 Data Engineer II at TD in Toronto
🏢 TD
📍 Toronto