Data Engineer I

TD

TD, one of the world's prominent financial institutions, seeks a Data Engineer to join their Data as a Service (DaaS) team, which is integral to the firm's big data strategy. The role involves designing data pipelines and supporting diverse data initiatives on the Azure platform. Team members are involved in blending business and technology resources to deliver client-centric solutions.

In this role you can expect to have the responsibilities:

• Develop ETL processes using Python and PySpark within the Azure platform.
• Collaborate with team members to integrate work into a comprehensive product.
• Implement automation and innovation aligned with business strategies.
• Manage testing cycles and support post-production deployment.
• Document design components and maintain effective communication.
• Engage in Agile (SCRUM-like) development processes.

This role comes with the following benefits:

• Comprehensive total rewards package including health and wellbeing benefits.
• Savings and retirement programs.
• Paid time off and banking benefits.
• Career development and recognition programs.

This role requires you to have:

• Undergraduate degree or technical certificate.
• 2-3 years of related design and development experience.
• Proficiency in Azure tools such as Azure Data Factory and Databricks.
• Knowledge in Python, PySpark, Spark, and SQL development.
• Experience with data modeling and ETL processes.

You would benefit from having:

• Experience with source control tools like Git.
• Familiarity with Agile development methodologies.
• Understanding of change management and network protocols.

TD is committed to diversity and inclusion, providing accommodations for individuals with disabilities. The company supports colleagues' career development through mentorship, regular development conversations, and access to an online learning platform.