Publié le mois dernier
GCP Data Engineer
@ Querentia Inc.
Télétravail au Canada
En bref
Querentia Inc. is hiring a GCP Data Engineer on a contract basis, remote from Toronto, Canada. The role builds scalable data pipelines on Google Cloud Platform, mainly BigQuery, and develops DBT models for transformation and modeling. Requires at least 5 years of data engineering experience with strong SQL and basic to intermediate Python.
Responsabilités :
- Build and maintain scalable data pipelines on GCP, primarily BigQuery
- Develop and manage DBT models for clean, tested datasets
- Write complex, optimized SQL for extraction and analysis
- Monitor and troubleshoot pipeline performance and data quality
- Automate data workflows with Python
Résumé des exigences :
- 5+ years in data engineering or similar role
- Strong SQL skills
- Hands-on BigQuery and GCP data services
- Familiarity with DBT
- Basic to intermediate Python
- Git experience
Outils et compétences
Source et dates
Type de source non vérifié · jsonld
- Date publiée par l’employeur
- 2026-10-08
- Première détection par notre source
- 2026-10-26
- Mise à jour du dossier source
- 2026-11-05
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Information Systems |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Querentia Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 331 |
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
•
Design, build, and maintain scalable data pipelines using GCP services, primarily BigQuery.
•
Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
•
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.
•
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 required.
•
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.
•
At least 5 years of experience in data engineering or a similar role.
•
Strong SQL skills, including the ability to write complex and efficient queries.
•
Hands-on experience with BigQuery and other GCP data services.
•
Familiarity with DBT for data transformation and modeling.
•
Solid understanding of data warehousing principles and best practices.
•
Basic to intermediate Python skills for scripting and automation.
•
Familiarity with version control systems such as Git.
•
Strong problem-solving, analytical, and communication skills.
Preferred Qualifications
•
Experience working with large-scale operational, customer interaction, or network-related datasets.
•
Exposure to data transformation, modeling, and workflow automation best practices.
Journal
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