Senior GCP BigQuery Data Engineer
Senior data engineer who designs and maintains scalable BigQuery data pipelines on Google Cloud Platform — writing optimized SQL, implementing data warehousing solutions, monitoring pipeline performance, and automating workflows with Python.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Five years of data engineering or similar experience
- Bachelor's degree in a related technical field
- Strong SQL and hands-on BigQuery expertise
- Understanding of data warehousing principles and best practices
- Basic to intermediate Python proficiency for automation
Nice to have
- DBT knowledge for transformation and modeling work
Full description
Build scalable BigQuery pipelines on Google Cloud Platform using strong SQL and data warehousing expertise. Automate workflows with Python scripting where necessary.
This Senior GCP Data Engineer role requires five years of data engineering experience or similar. You will work with BigQuery, other GCP data services, SQL, Python, and data warehousing principles. DBT knowledge supports transformation and modeling work when required.
Key Responsibilities:
- Design and maintain scalable GCP data pipelines using BigQuery
- Write optimized SQL for extraction, transformation, and analysis
- Implement reliable, scalable data warehousing solutions
- Monitor pipeline performance and troubleshoot data quality issues
- Automate workflows using Python scripts where necessary
Requirements:
- Five years of data engineering or similar experience
- Bachelor's degree in a related technical field
- Strong SQL and hands-on BigQuery expertise
- Understanding of data warehousing principles and best practices
- Basic to intermediate Python proficiency for automation
Apply GCP, BigQuery, SQL, Python, and data warehousing skills to deliver reliable, scalable data engineering solutions.