GCP Data Engineer
- Toronto, ON, Canada
$53 CAD / hour · Contract
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Job details
- Pay
- $53 CAD / hour
- 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
Location: Toronto, ON (4x onsite a week)
Employment Type: Contract
Pay Rate: CAD$53/HR INC
Interview Type: Face 2 Face (Onsite Interview Only)
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation. Strong understanding of Agentic and knowledge of Telcom is a plus
Key Responsibilities
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Nice to have the experience to Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
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 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, complex queries.
Nice to have knowledge in DBT for data modeling and transformation
Hands-on Experience With BigQuery And Other GCP Data Services.
Solid understanding of data warehousing principles and best practices.
Basic to intermediate skills in Python for scripting and automation.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
Location: Toronto, ON (4x onsite a week)
Employment Type: Contract
Pay Rate: CAD$53/HR INC
Interview Type: Face 2 Face (Onsite Interview Only)
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation. Strong understanding of Agentic and knowledge of Telcom is a plus
Key Responsibilities
Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Nice to have the experience to Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
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 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, complex queries.
Nice to have knowledge in DBT for data modeling and transformation
Hands-on Experience With BigQuery And Other GCP Data Services.
Solid understanding of data warehousing principles and best practices.
Basic to intermediate skills in Python for scripting and automation.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
More about this job
Responsibilities
Design, build, and maintain scalable GCP data pipelines and data warehousing solutions, primarily using BigQuery, SQL, and dbt. Collaborate with stakeholders to deliver reliable, high-quality data, troubleshoot pipeline and data quality issues, automate workflows, and uphold governance and security standards.
Requirements
Requires a bachelor’s degree in Computer Science, Information Systems, or a related field, along with at least five years of data engineering experience. Candidates should have strong SQL skills, hands-on BigQuery and GCP experience, knowledge of data warehousing and dbt, basic-to-intermediate Python skills, and familiarity with Git.
Skills
- Google Cloud Platform
- BigQuery
- Dbt
- SQL
- Data Engineering
- Data Pipelines
- Data Warehousing
- Python
- Data Modeling
- Git
- Data Governance
- Data Quality
- Workflow Automation
- Problem-Solving
- Communication
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 Transformation
- Data Modeling
- Data Warehousing
- Data Extraction
- Data Analysis
- Data Quality
- Data Governance
- Data Security
- Data Compliance
- Workflow Automation
- Scalability
- Performance Optimization
- Agentic
- Telecommunications