GCP Senior Data Engineer
Summary
Senior data engineer at Querentia in Toronto who designs, builds, and maintains scalable data pipelines on Google Cloud Platform (primarily BigQuery), develops DBT transformation models, writes optimized SQL, and automates workflows with Python. Core stack: GCP/BigQuery, SQL, DBT, Python, Git.
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.
Key Responsibilities
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- Knowledge of DBT for data modeling and transformation.
- Strong understanding of Agentic technologies.
- Knowledge or experience in the telecommunications (Telecom) domain.