AWS Data Engineer

Position: AWS Data Engineer Risk Technology

Location: Toronto, Canada

Contract: 12+ Months

6-12 years exp ideally.

AWS expertise still a key focus

Job Description:

Role Overview:
We are seeking experienced Data Engineers to strengthen its data platform and execution capabilities. The role focuses on building resilient, scalable data pipelines while reducing operational friction and improving delivery discipline. This position is critical to enabling reliable risk analytics and supporting long-term technology modernization initiatives.
Key Responsibilities:
Design, build, and maintain cloud-based data pipelines supporting risk and analytics use cases
Own and troubleshoot production data issues, performing root-cause analysis rather than reactive reruns
Improve data quality, validation, and control frameworks, particularly around configuration and inputs
Enhance orchestration and scheduling platforms (e.g., Airflow), including upgrades and stability improvements
Partner with business and risk stakeholders to understand why behind requests and propose durable solutions
Reduce manual operational effort through automation, self-service workflows, and auditability
Contribute to planning, estimation, and delivery discipline for technology initiatives

Support a hybrid operating model alongside offshore teams while driving higher standards of ownership and execution
Required Skills & Experience:
Strong experience as a Data Engineer in complex, enterprise environments
Hands-on expertise with AWS data services and cloud-native architectures
Proven experience building and operating large-scale data pipelines
Solid knowledge of workflow orchestration tools (Airflow or equivalent)
Strong SQL and data processing skills; experience with structured and semi-structured data
Demonstrated ability to diagnose issues end-to-end and implement permanent fixes
Experience working in regulated, risk, or financial services environments preferred
Key Attributes:
Strong critical thinking and problem-solving mindset
Comfortable challenging requirements and asking the right questions before execution
Ability to balance production support with strategic engineering work
Proactive, ownership-driven approach to delivery
Clear communicator able to collaborate across technology and business teams

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.