Publié le mois dernier
GCP Senior Data Engineer Grade
@ Querentia Inc.
Télétravail au Canada
En bref
Querentia Inc. is hiring a GCP Senior Data Engineer Grade on a remote contract basis across Canada. The lead role builds and optimizes ETL/ELT pipelines and data platforms on Google Cloud Platform and leads a team of 10 engineers. Candidates must have prior data engineering leadership experience.
Responsabilités :
- Build and optimize ETL/ELT pipelines on GCP
- Architect and manage BigQuery, Cloud Storage and Data Fusion
- Lead a team of 10 engineers and review code
- Optimize pipeline performance and GCP costs
- Implement data validation, lineage and metadata management
Résumé des exigences :
- Experience leading data engineering teams, onshore and offshore
- Proficiency in SQL, Python and Java or Scala
- Hands-on GCP experience including BigQuery, Dataflow and Dataproc
- Familiarity with CI/CD, Git and infrastructure-as-code
- Experience with production data platforms and monitoring
Outils et compétences
Source et dates
Type de source non vérifié · jsonld
- Date publiée par l’employeur
- 2026-09-29
- 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 | Chef d’équipe |
| Domaine | Données et analytique |
| Gestion d’équipe | Oui |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
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 |
GCP Senior Data Engineer Grade
Location: Canada (Remote)
Role Overview
We are seeking a GCP Senior Data Engineer Grade with strong data engineering leadership experience to lead data engineering teams and deliver scalable data platforms and pipelines on Google Cloud Platform.
Key Responsibilities
•
Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.
•
Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.
•
Lead a team of 10 engineers , review code, establish data engineering standards, and drive CI/CD and monitoring practices.
•
Optimize pipeline performance, query efficiency, and GCP cost management , including slot reservations and partitioning.
•
Work with data architects, data scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.
•
Implement data validation, lineage, and metadata management using tools such as Data Catalog and dbt.
Required Skills & Qualifications
•
Experience leading data engineering teams onshore and offshore . This is a lead position, not a senior data engineer position; candidates without leadership experience will not be considered.
•
Proficiency in SQL, Python, Java/Scala , and distributed systems including Spark and Beam .
•
Hands-on experience with GCP , including BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.
•
Familiarity with CI/CD, Git, and infrastructure-as-code .
•
Experience with data engineering standards, code reviews, monitoring, and production data platforms.
Nice-to-Have Skills
•
GCP certifications , such as Professional Data Engineer.
•
Experience with real-time processing, Vertex AI, or multi-cloud environments .
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