Required Skills & Experience
• Strong Python development experience.
• Advanced SQL skills.
• 3+ years of Data Engineering experience
• Hands-on experience developing and migrating data pipelines.
• Proven experience migrating data/workloads from on-premises environments to AWS.
• Strong hands-on experience working within the AWS ecosystem.
• Experience integrating and transforming data from multiple sources.
• Strong communication and stakeholder-management skills.
• Ability to operate in a consultative capacity, working directly with the business. Experience working within a large enterprise environment. Nice to Have Skills & Experience Banking / FS experience Commercial Banking

Job Description
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS. This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments.



The scope of work will be contributing to Commercial Banking's Underwriting AI enablement/automation vision

Key Responsibilities
• Design, develop, and maintain data pipelines.
• Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
• Gather, integrate, transform, and prepare data from multiple sources.
• Use Python and SQL extensively for data development and manipulation.
• Support integration of data into existing enterprise platforms and applications.
• Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
• Support ML/MLOps integration into production environments where applicable.
• Work within an enterprise environment supporting business-critical applications and workflows.
• Communicate technical concepts clearly to both technical and non-technical stakeholders. *Pay: 55hr to 65/hr* *Vacancy:* *New Vacancy (Current Role)
* *We use Artificial intelligence tools are used to assist in screening and assessing applicants for this position.*

📌 AWS Data Engineer (Toronto)
🏢 Insight Global
📍 Toronto