Build AWS data pipelines with Python and SQL while migrating workloads from on-premises environments. Partner directly with business stakeholders in an enterprise transformation.

This Data Engineer role supports large enterprise transformation initiatives focused on data integration and AWS migration. You will design pipelines, transform data, and contribute to Commercial Banking’s Underwriting AI enablement vision. The work also includes supporting ML and MLOps integration into production environments where applicable.

Key Responsibilities:

- Design, develop, and maintain data pipelines
- Migrate pipelines and workloads from on-premises infrastructure to AWS
- Integrate, transform, and prepare data from multiple sources




- Use Python and SQL for data development and manipulation
- Partner with stakeholders to translate requirements into technical solutions

Requirements:

- Three or more years of Data Engineering experience
- Hands-on AWS ecosystem and migration experience
- Strong Python and SQL skills
- Experience supporting large enterprise environments
- Robust communication and stakeholder-management skills

Apply your Python, SQL, AWS migration, and data pipeline expertise to enterprise Commercial Banking transformation initiatives.

📌 AWS Data Engineer Python SQL (Canada)
🏢 Insight Global
📍 Canada