Publié le mois dernier
January start! ETL Developer - Senior, 9 months contract + ext. 6 months
@ Dimensional Tech Inc.
Toronto, Ontario
En bref
Dimensional Tech Inc. is hiring a senior ETL Developer for a 9-month onsite contract in Toronto, Ontario, starting January 2027, with a possible 6-month extension. The role builds and maintains data extraction, transformation and loading pipelines across Azure, AWS and Databricks.
Responsabilités :
- Develop daily and initial ETL data load programs
- Build schedule and dependency logic for ETL scripts
- Integrate, cleanse and analyze data from multiple sources
- Design data models for marts and warehouses
Résumé des exigences :
- Senior experience with Microsoft Azure data services and Power BI
- Experience with Databricks
- Experience with AWS data services including Aurora, Glue and OpenSearch
- Experience with ETL on structured and semi-structured data
- Experience with data modeling for marts and warehouses
Outils et compétences
Source et dates
Type de source non vérifié · crelate
- Date publiée par l’employeur
- 2026-10-08
- Première détection par notre source
- 2026-10-16
- Mise à jour du dossier source
- 2026-11-07
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| 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.
Dimensional Tech Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 172 |
• Location: Toronto, Ontario
• Duration: 2027-01-05 to 2027-10-05 (188 days)
• Extension: + 120 day extension
• Job Type: Onsite
• Openings: 1
Requirements:
• Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
• Experience with Databricks Platform
• Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
• Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
• Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
• Experience with data integration, data cleansing, and data analytics
• Experience with data modeling and design principles for data marts and data warehouses
Journal
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