Engineer, Platform Engineering responsible for developing requirements, testing, and deploying VSAT platforms and modems. Collaborating across SES departments and with Platform Vendors.
About the role
- Data Platform Engineer Intern at Canada Life designing cloud-based data solutions. Contributing to analytics enablement and partnering with stakeholders to enhance data platform capabilities.
Responsibilities
- Design, build, and maintain highly scalable and reliable data platform solutions within a cloud environment
- Partner with internal stakeholders to understand development and analytics needs, identifying platform capabilities that address pain points and enable delivery
- Support and enhance DevOps and platform services, including monitoring, deployment, and pipeline support for data delivery
- Enable secure connectivity between data models and their underlying data sources
- Deliver and manage appropriate resource access permissions to support approved use cases
- Provide DevOps and CI/CD support, including deploying code developed by other teams into production environments
- Contribute to the long-term data platform strategy, helping shape platform evolution and team growth
- Collaborate closely with cross-functional teams in an agile, highly cooperative environment
Requirements
- Currently in your second‑year or higher and pursuing a post‑secondary degree or diploma in Computer Science, Software Engineering, Information Systems, or a related discipline
- Strong coding skills in Python
- Strong understanding of engineering and infrastructure best practices, including general software development principles and the machine learning software development lifecycle orientation.
- Exposure to Azure Machine Learning, Azure Data Factory (ADF), Databricks administration, and GitLab through coursework, projects, labs or internships.
- Experience managing the end‑to‑end machine learning lifecycle
- Strong communication skills, with the ability to clearly explain technical concepts and collaborate effectively across teams
- A customer‑focused mindset with strong relationship‑building skills
- Ability to adapt quickly to changing priorities and work effectively in ambiguous environments
- Strong time management, prioritization, and decision‑making skills.
Benefits
- Gain hands-on experience supporting enterprise data platforms used across the organization
- Work with modern cloud, data, and platform engineering technologies in a real-world environment
- Learn from and collaborate with experienced engineers, product owners, and data professionals
- Contribute to initiatives that improve the reliability, accessibility, and impact of data
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