GCP 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
Hello ,
We have the following openings at Toronto, CA (Onsite). Kindly send your updated resume if interested at mjakhar@webmsi.com and you may reach out to me at 248-233-6240.
Job Title
GCP Data Engineer 2
Location
Toronto, CA (Onsite)
Duration
12 months and possible Contract-To-Hire with Capgemini any time after 90 days
Job Description: CGEMJP00360882 - GCP Data Engineer 2 - Toronto, CA (Onsite)
JOB DESCRIPTION:
Role Summary
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.
Regards,
Manish Jakhar
Millennium Software Inc.
Cell: 248-233-6240
2000 Town Center, Suite 300, Southfield, MI, 48075
Visit us at www.webmsi.com
More about this job
Responsibilities
Design, build, and maintain scalable GCP data pipelines and BigQuery-based data warehousing solutions, using SQL and DBT to transform and model data. Collaborate with stakeholders, monitor pipeline performance and data quality, automate workflows with Python, and uphold governance, security, and compliance standards.
Requirements
Requires a bachelor’s degree in Computer Science, Information Systems, or a related field, along with five years of data engineering experience. Candidates should have strong SQL skills, hands-on BigQuery and GCP experience, data warehousing knowledge, basic-to-intermediate Python, and familiarity with Git; DBT is a plus.
Skills
- Google Cloud Platform
- BigQuery
- DBT
- SQL
- Python
- Data Engineering
- Data Pipelines
- Data Modeling
- Data Warehousing
- Git
- Data Governance
- Data Quality
- Workflow Automation
- Agentic Systems
- Telecommunications
Visa sponsorship
Not detected in the job text
Hiring contact
Manish Jakhar
Hiring contact email
mjakhar@webmsi.com
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
- Workflow Automation
- Data Governance
- Data Security
- Compliance
- Agentic Systems
- Telecommunications
- Scalability
- Pipeline Monitoring
- Troubleshooting