About the role
Who you are
- Currently enrolled in a post-secondary co-op program in Computer Science, Software Engineering, Data Science, or a related technical field
- Strong foundational knowledge of SQL and Python
- Academic or project experience with dbt, Airflow, or Snowflake is highly preferred
- Exposure to cloud environments (AWS or GCP) and an understanding of data warehousing concepts
- Familiarity with DevOps practices or NoSQL databases (Mongo DB) is considered a definite asset
- Simplicity First: You prefer simple, maintainable solutions over over-engineered abstractions
- Effective Communicator: You are comfortable asking questions and providing/receiving candid feedback to ensure project success
- Incremental Delivery: You understand the value of getting a working version into production quickly and iterating based on feedback
What the job involves
- Support the Migration: Assist the engineering team in the migration of data assets from Amazon Redshift to Snowflake, ensuring data integrity and performance
- Infrastructure Provisioning: Work closely with lead engineers to provision and configure the Insurance BU data infrastructure, gaining hands-on experience with cloud architecture
- Pipeline Development: Build and maintain data pipelines using Airflow and dbt to handle ongoing ad-hoc requests and automate financial data workflows
- Data Transformation: Help create clean, modular, and maintainable code by refactoring complex queries into streamlined transformation layers
- Cross-functional Collaboration: Partner with both engineering and business teams to understand requirements and deliver data solutions that provide immediate value
Not the right fit? Search for Data Engineer Intern jobs in Toronto
Similar Jobs
About the role
Who you are
- Currently enrolled in a post-secondary co-op program in Computer Science, Software Engineering, Data Science, or a related technical field
- Strong foundational knowledge of SQL and Python
- Academic or project experience with dbt, Airflow, or Snowflake is highly preferred
- Exposure to cloud environments (AWS or GCP) and an understanding of data warehousing concepts
- Familiarity with DevOps practices or NoSQL databases (Mongo DB) is considered a definite asset
- Simplicity First: You prefer simple, maintainable solutions over over-engineered abstractions
- Effective Communicator: You are comfortable asking questions and providing/receiving candid feedback to ensure project success
- Incremental Delivery: You understand the value of getting a working version into production quickly and iterating based on feedback
What the job involves
- Support the Migration: Assist the engineering team in the migration of data assets from Amazon Redshift to Snowflake, ensuring data integrity and performance
- Infrastructure Provisioning: Work closely with lead engineers to provision and configure the Insurance BU data infrastructure, gaining hands-on experience with cloud architecture
- Pipeline Development: Build and maintain data pipelines using Airflow and dbt to handle ongoing ad-hoc requests and automate financial data workflows
- Data Transformation: Help create clean, modular, and maintainable code by refactoring complex queries into streamlined transformation layers
- Cross-functional Collaboration: Partner with both engineering and business teams to understand requirements and deliver data solutions that provide immediate value
Not the right fit? Search for Data Engineer Intern jobs in Toronto