Role Name: GCP Data Engineer Work Location: Toronto, Canada (Remote) Job Summary We are seeking an experienced GCP Data Engineer with hands-on expertise in Google Cloud Platform (GCP), particularly Big

Query, and familiarity with DBT for data transformation and modeling.

The ideal candidate will have strong SQL skills, a solid understanding of data warehousing concepts, and basic to intermediate Python skills for scripting and automation.

Experience working with large-scale operational and customer interaction datasets is preferred.

Key Responsibilities Design, build, and maintain scalable data pipelines using GCP services, primarily Big

Query.

Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.

Write complex, optimized SQL queries for data extraction, transformation, and analysis.

Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.

Monitor and troubleshoot data pipeline performance and data quality issues.





Automate data workflows and tasks using Python scripts where required.

Follow data governance, security, and compliance best practices.

Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.

At least 5 years of experience in data engineering or a similar role.

Strong SQL skills, including the ability to write complex and efficient queries.

Hands-on experience with Big

Query and other GCP data services.

Familiarity with DBT for data transformation and modeling.

Solid understanding of data warehousing principles and best practices.

Basic to intermediate Python skills for scripting and automation.

Familiarity with version control systems such as Git.

Robust problem-solving, analytical, and communication skills.

Preferred Qualifications Experience working with large-scale operational, customer interaction, or network-related datasets.

Exposure to data transformation, modeling, and workflow automation best practices.

📌 GCP Data Engineer (Alberta)
🏢 Querentia
📍 Alberta