GCP Data Engineer - B2

Work Site: Toronto, Canada (Onsite)







Employment Type: Contract with a possible 3-month Contract-to-Hire (CTH) opportunity Job Summary

We are seeking a GCP Data Engineer with hands-on experience in Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of 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 proficiency in Python for scripting and automation.

A strong understanding of Agentic technologies and knowledge of the telecommunications (Telecom) domain would be an added advantage.

• Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), primarily using BigQuery.

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

• Write complex and 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 necessary.

• Ensure data governance, security, and compliance standards are met.

• Bachelor's degree in Computer Science, Information Systems, or a related field.

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

• Strong expertise in SQL, with the ability to write efficient and complex queries.

• Hands-on experience with BigQuery and other GCP data services.

• Solid understanding of data warehousing principles and best practices.

• Basic to intermediate proficiency in Python for scripting and automation.

• Familiarity with version control systems such as Git.

• Excellent problem-solving and communication skills.

• Knowledge of DBT for data modeling and transformation.

• Strong understanding of Agentic technologies.

• Knowledge or experience in the telecommunications (Telecom) domain.