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
- Strong 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 in Toronto employer: Insight Global
At Insight Global, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an In-House Commercial Counsel in Mississauga, you will benefit from competitive compensation, comprehensive benefits, and ample opportunities for professional growth while working alongside innovative teams in a fast-paced environment. Join us to make a meaningful impact in the e-commerce and ad tech sectors, where your expertise will be valued and your contributions recognized.
