GCP Data Engineer – B2
- 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 Title: GCP Data Engineer 2 - B2 - Canada
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.
Key Responsibilities
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Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), primarily using BigQuery.
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Develop and manage DBT models to transform raw data into clean, tested, and documented datasets, if required.
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Write complex and optimized SQL queries for data extraction, transformation, and analysis.
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Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
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Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
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Monitor and troubleshoot data pipeline performance and data quality issues.
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Automate data workflows and tasks using Python scripts where necessary.
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Ensure data governance, security, and compliance standards are met.
Required Qualifications
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Bachelor's degree in Computer Science, Information Systems, or a related field.
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5 years of experience in data engineering or a similar role.
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Strong expertise in SQL, with the ability to write efficient and complex queries.
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Hands-on experience with BigQuery and other GCP data services.
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Solid understanding of data warehousing principles and best practices.
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Basic to intermediate proficiency in Python for scripting and automation.
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Familiarity with version control systems such as Git.
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Excellent problem-solving and communication skills.
Preferred Qualifications
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Knowledge of DBT for data modeling and transformation.
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Strong understanding of Agentic technologies.
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Knowledge or experience in the telecommunications (Telecom) domain.
More about this job
Responsibilities
The GCP Data Engineer at Querentia Inc. will build and maintain data pipelines in Google Cloud, transform raw data into clean, tested datasets, write complex SQL queries, and automate workflows with Python. The role also works with analysts and stakeholders and troubleshoots data quality issues.
Requirements
Candidates need five years of data engineering experience, strong SQL skills, and hands-on BigQuery and GCP data services experience. A bachelor's degree in a related field, basic to intermediate Python, and Git familiarity are also required.
Skills
- Google Cloud Platform (GCP)
- BigQuery
- DBT
- SQL
- Data Warehousing
- Python
- Git
- Data Pipeline Design
- ETL/ELT
- Data Modeling
- Query Optimization
- Data Quality Monitoring
- Data Governance
- Data Security and Compliance
- Workflow Automation
- Problem Solving
- Stakeholder Communication
- Agentic Technologies
- Telecommunications Domain Knowledge
Categories
- Technology
- Software
- Data & Analytics
Keywords
- GCP Data Engineer
- Google Cloud Platform
- BigQuery
- DBT
- SQL
- Data Warehousing
- Python
- Git
- Data Pipelines
- ETL
- ELT
- Data Modeling
- Data Governance
- Data Quality
- Agentic AI
- Telecommunications
- Telecom
- Data Engineering
- Contract
- Contract-to-Hire
Seniority
Mid level
Tools
- BigQuery
- DBT
- Python
- Git
Languages
- English
Fields of study
- Computer Science
- Information Systems