View all jobs
Data Engineer 1-19698
Toronto, ONT4 Rates: ($41.50/hr -$43.30/hr)
Description:
As a Junior Data Engineer, you will be responsible for learning to design, build and run data-driven applications on Google Cloud Platform that enable innovative, customer-centric digital experiences. This is an excellent opportunity for early-career professionals to grow their skills in modern cloud data engineering.
You will be working as part of a friendly, cross-discipline agile team who helps each other solve problems across all functions. As a custodian of customer trust, you will learn and apply best practices in development, security, accessibility and design to achieve the highest quality of service for our customers.
Our development team uses modern Google Cloud technologies to get the job done: BigQuery, Dataflow, Cloud Storage, Cloud Composer, and Pub/Sub, coupled with Python, SQL, and Infrastructure as Code to provide modern, scalable data pipelines.
You will be part of the team building cloud-native data pipelines to transfer and process data from our enterprise data lake on GCP, enabling our AI and analytics use cases.
Must Have:
1. GCP Professional Data Engineer Certification
2. Tableau - Advanced
3. BigQuery - Complex Queries, Performance Tuning, Cloud Cost Optimization
Great-to-haves
• 1-2 years of relevant experience
• Good experience with Google Cloud Platform services
• Experience with Python, SQL, or other programming languages
• Familiarity with version control (Git) and basic DevOps concepts
AI integrated Coding Skills on VSCode
• Experience with data visualization tools such as Looker, Tableau, or similar
• Understanding of basic cloud computing concepts
Description:
As a Junior Data Engineer, you will be responsible for learning to design, build and run data-driven applications on Google Cloud Platform that enable innovative, customer-centric digital experiences. This is an excellent opportunity for early-career professionals to grow their skills in modern cloud data engineering.
You will be working as part of a friendly, cross-discipline agile team who helps each other solve problems across all functions. As a custodian of customer trust, you will learn and apply best practices in development, security, accessibility and design to achieve the highest quality of service for our customers.
Our development team uses modern Google Cloud technologies to get the job done: BigQuery, Dataflow, Cloud Storage, Cloud Composer, and Pub/Sub, coupled with Python, SQL, and Infrastructure as Code to provide modern, scalable data pipelines.
You will be part of the team building cloud-native data pipelines to transfer and process data from our enterprise data lake on GCP, enabling our AI and analytics use cases.
Must Have:
1. GCP Professional Data Engineer Certification
2. Tableau - Advanced
3. BigQuery - Complex Queries, Performance Tuning, Cloud Cost Optimization
Great-to-haves
• 1-2 years of relevant experience
• Good experience with Google Cloud Platform services
• Experience with Python, SQL, or other programming languages
• Familiarity with version control (Git) and basic DevOps concepts
AI integrated Coding Skills on VSCode
• Experience with data visualization tools such as Looker, Tableau, or similar
• Understanding of basic cloud computing concepts