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
Robust 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 Toronto
🏢 Insight Global
📍 Toronto