Cloud Infrastructure Analyst, Student

Sun Life

Student Cloud Infrastructure Analyst at Sun Life supporting Data Mesh migrations and collaborating on data requirements. Gaining hands-on experience with cloud technologies and data science tools.

Posted 6/29/2026internshipToronto • 🇨🇦 CanadaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in data migration, cloud technologies, and data querying tools while supporting data science and AI applications. Capable of collaborating in Agile environments and applying DevOps methodologies to enhance processes and infrastructure.

Highest-signal resume keywords

Data Mesh Migration SupportCloud Technologies (AWS)Data Querying Tools (Snowflake, Athena)Basic Programming (Python, Bash)Agile Methodologies

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data MigrationData IngestionInfrastructure as Code (IAC)Basic Programming (Python)Basic Programming (Bash)Version Control (Git)Data Science Tools (Sagemaker)Analytic Services (AWS)CloudFormationTerraform

Soft Skills

Strong Communication SkillsCollaboration SkillsAnalytical AbilitiesProblem-Solving SkillsInitiative

Tools & Technologies

Amazon Web Services (AWS)JIRALinuxMacieStarburst TrinoRStudioTextractBedrockKendraComprehend

Industry Keywords

Cloud ComputingData ScienceArtificial IntelligenceAgile EnvironmentDevOps

Tech Stack

Tools & technologies

AWSCloudEC2LinuxPythonTerraform

About the role

Key responsibilities & impact

Support Data Mesh migrations and client onboarding while collaborating on data requirements
Configure and prepare data for ingestion into the Data Mesh
Learn data querying tools (Snowflake, Starburst Trino, Athena) and security processes (Macie)
Gain hands-on experience with cloud technologies like Amazon Web Services (AWS), Platform as a Service (PaaS), and Software as a Service (SaaS)
Assist in building and deploying infrastructure using Infrastructure as Code (IAC) tools like Terraform and CloudFormation
Learn about and support data science and AI tools such as Sagemaker, RStudio, and AWS Analytic Services (e.g., Textract, Bedrock, Kendra, Comprehend)
Participate in an Agile team environment, supporting analytic products and contributing to key projects
Document processes, manage work with JIRA, and help implement consistent standards and procedures
Learn DevOps methodologies and develop basic scripts for Windows and Linux platform
Collaborate with team members and stakeholders to enable AWS features for data science and AI applications
Contribute ideas for process improvements and innovative solutions

Requirements

What you’ll need

Strong communication and collaboration skills
Eagerness to learn and apply new technologies
Strong analytical and problem-solving abilities
Willingness to take initiative
Graduation date of December 2026 or later
Familiarity with Linux and basic AWS services (e.g., IAM, EC2, S3)
Basic programming knowledge in Python, Bash, or PowerShell
Interest in cloud computing, data science, or artificial intelligence
Understanding of version control systems like Git

Benefits

Comp & perks

Professional development workshops
Student awards
Socials
Flexible work arrangements