GCP Senior Data Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 5 years of experience in data engineering or a similar role.
- Posting language
- English
- Posted
Original job description
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.
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.
More about this job
Responsibilities
Design, build, and maintain scalable data pipelines and data warehousing solutions on Google Cloud Platform, primarily using BigQuery, and develop DBT models and optimized SQL queries. Monitor pipeline performance and data quality, automate workflows with Python, uphold governance and security standards, and collaborate with analysts, data scientists, and business stakeholders.
Requirements
Requires a bachelor's degree in Computer Science, Information Systems, or a related field, at least five years of data engineering experience, strong SQL skills, hands-on BigQuery and GCP experience, and knowledge of data warehousing. Python scripting and Git familiarity are required; DBT, Agentic technologies, and Telecom domain knowledge are preferred.
Skills
- Google Cloud Platform
- BigQuery
- SQL
- DBT
- Python
- Data Engineering
- Data Warehousing
- Data Pipeline Development
- Data Modeling
- Data Transformation
- Git
- Data Governance
- Data Quality
- Agentic Technologies
- Telecommunications
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Google Cloud Platform
- GCP
- BigQuery
- DBT
- SQL
- Python
- Git
- Data Engineering
- Data Pipelines
- Data Warehousing
- Data Modeling
- Data Transformation
- Data Quality
- Data Governance
- Data Security
- Data Compliance
- Workflow Automation
- Agentic Technologies
- Telecommunications
- Telecom
- Data Extraction
- Data Analysis
- Scalability
- Performance Optimization
- Problem-Solving
- Stakeholder Collaboration