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About the Role
Join our dynamic Data Engineering team as a software engineering co-op student. Contribute to cutting-edge data and analytics capabilities, building core data and application pipelines, frameworks, and infrastructure to enable real-time insights and client responsiveness.
Responsibilities
- Collaborate within an Agile squad to build core data and analytics platforms, applications, and self-service capabilities.
- Develop robust data pipelines integrating various data sources to enable analytics in our Cloud environment.
- Work closely with data science analytics partners and AWS service partners to deliver effective integration and delivery pipelines for various analytics use-cases, such as recommendation systems.
- Operate in a Shift-Left testing environment, prioritizing efficient, tested, and clear code.
- Enhance the supportability and transparency of our applications and services by creating comprehensive documentation, monitoring/alert systems, and centralized logging.
Requirements
- Pursuing or recent completion of a Bachelor's Degree in Computer Science, Technology, or a related field.
- Experience with AWS services (such as S3, Lambda, Glue).
- Familiarity with or eagerness to learn Git, Bitbucket and Python (using Python to write AWS Lambda functions).
- Familiarity with or eagerness to learn Docker and container-orchestration tools like Kubernetes.
- Familiarity with or eagerness to learn CI/CD tools such as Jenkins, Artifactory.
- Familiarity with or eagerness to learn SQL databases, such as Postgres.
- Familiarity with or eagerness to learn Large Language Models (LLMs).
- Familiarity with or eagerness to learn ML Pipelines, Model Registry in AWS.
- Interest in Microservice Architectures.
Skills
- Strong communication skills (both written and oral)
- Interpersonal abilities
- Agile methodologies like Kanban or Scrum
- AWS services (S3, Lambda, Glue)
- Git
- Bitbucket
- Python
- AWS Lambda functions
- Docker
- Kubernetes
- CI/CD tools (Jenkins, Artifactory)
- SQL databases (Postgres)
- Large Language Models (LLMs)
- ML Pipelines
- Model Registry in AWS
- Microservice Architectures
Work Type
- Hybrid
Experience Level
- Student
- New Graduate
Education Level
- Bachelor's Degree in Computer Science, Technology, or a related field
About the Company
- At Sun Life, we’re driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives.
- Our values shape how work: caring, authentic, bold, inspiring, and impactful.
- Our student and new graduate programs offer a chance to explore Sun Life from the inside.
- You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.
Equal Opportunity
- Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.
- Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.