GCP Data Engineer
- Remote, Canada
Remote
Contract
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Job details
- Job type
- Contract
- Workplace
- Remote
- Apply by
- Remote eligibility
- Canada listed. Check the posting for province restrictions.
- Experience
- At least 5 years of experience in data engineering or a similar role.
- Posting language
- English
- Posted
Original job description
Role Name: GCP Data Engineer
Work Location: Toronto, Canada (Remote)
Job Summary
We are seeking an experienced GCP Data Engineer with hands-on expertise in Google Cloud Platform (GCP), particularly BigQuery, and familiarity with 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 Python skills for scripting and automation. Experience working with large-scale operational and customer interaction datasets is preferred.
Key Responsibilities
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Design, build, and maintain scalable data pipelines using GCP services, primarily BigQuery.
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Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
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Write complex, 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 required.
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Follow data governance, security, and compliance best practices.
Required Qualifications
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Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
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At least 5 years of experience in data engineering or a similar role.
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Strong SQL skills, including the ability to write complex and efficient queries.
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Hands-on experience with BigQuery and other GCP data services.
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Familiarity with DBT for data transformation and modeling.
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Solid understanding of data warehousing principles and best practices.
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Basic to intermediate Python skills for scripting and automation.
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Familiarity with version control systems such as Git.
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Strong problem-solving, analytical, and communication skills.
Preferred Qualifications
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Experience working with large-scale operational, customer interaction, or network-related datasets.
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Exposure to data transformation, modeling, and workflow automation best practices.
More about this job
Responsibilities
The GCP Data Engineer at Querentia Inc. will build and maintain data pipelines and warehouses on Google Cloud, write optimized SQL, develop DBT models that turn raw data into clean datasets, and work with analysts, scientists and business teams. The role also monitors data quality and automates workflows with Python.
Requirements
Candidates need at least 5 years of data engineering experience, strong SQL, hands-on BigQuery and GCP data services, and DBT. They also need data warehousing knowledge, basic to intermediate Python, and Git.
Skills
- Google Cloud Platform (GCP)
- BigQuery
- DBT
- SQL
- Python
- Git
- Data warehousing
- Data modeling
- Data pipeline design
- ETL/ELT
- Query optimization
- Data quality monitoring
- Workflow automation
- Data governance
- Data security and compliance
- Troubleshooting
- Problem solving
- Communication
Categories
- Data & Analytics
- Technology
- Software
Keywords
- GCP
- Google Cloud Platform
- BigQuery
- DBT
- SQL
- Python
- Git
- data engineer
- data pipelines
- data warehousing
- data modeling
- ETL
- ELT
- data transformation
- data quality
- data governance
- contract
- remote
- Toronto
Seniority
Mid level
Tools
- BigQuery
- DBT
- Git
- Python
Languages
- English
Fields of study
- Computer Science
- Information Systems