Publié avant-hier
Data Engineer (Snowflake)
@ Hydro One
Toronto, Ontario
En bref
Hydro One is hiring a contract Data Engineer to build and operate data pipelines on the Snowflake platform. The work covers batch and streaming ingestion, SQL and Python transformations, data quality, and pipeline performance. The posting requires 7+ years in data engineering, 3+ years with Snowflake, and states that assignment duration and pay are subject to business needs.
Responsabilités :
- Build batch and streaming ingestion pipelines into Snowflake
- Develop transformation and data-modelling logic in SQL, dbt and Snowpark
- Implement automated testing, data-quality checks and alerting
- Apply CI/CD and version control to pipeline changes
- Optimize queries and warehouse usage for performance and cost
Résumé des exigences :
- 7+ years data engineering in an enterprise environment
- 3+ years with Snowflake (Snowpipe and Snowpark)
- Strong SQL and Python
- Hands-on ELT/ETL tooling, dbt and orchestration
- Git-based version control and CI/CD familiarity
- SnowPro Core certification preferred
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 7 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Permis et certifications | SnowPro Core |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Hydro One
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Data Engineer
Mission: Build and operate the data pipelines that land, transform, and model data on the
Snowflake platform reliably and efficiently.
Key responsibilities:
- Develop and maintain ingestion pipelines from source systems into Snowflake, covering both batch and streaming (e.g., Snowpipe, Streams & Tasks, connectors).
- Build transformation and data-modelling logic using SQL, dbt, and/or Snowpark (Python/Java).
- Implement automated testing, data-quality checks, monitoring, and alerting across pipelines.
- Apply CI/CD and version control so pipeline changes are reviewed, tested, and deployed consistently.
- Optimize queries and warehouse usage for performance and cost (pruning, clustering, rightsizing).
- Document data lineage, transformations, and operational runbooks.
Qualifications:
- 7+ years in data engineering in an enterprise environment
- 3+ years in snowflake (snowpipe and snowpark)
- Strong SQL and Python; hands-on experience with ELT/ETL tooling, dbt, and orchestration (e.g., Airflow, dbt Cloud)
- Git-based version control and CI/CD familiarity; exposure to streaming ingestion a plus.
- SnowPro Core certification preferred.
Key skills: SQL, Python, dbt, pipeline orchestration, data quality, performance tuning, Git/CI-CD.
This is a temporary contractor position and is a current existing vacancy. Please note that assignment durations, pay rates, and job duties are subject to Hydro One’s business needs and project requirements.
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