Première détection par notre source: il y a 22 jours
Databricks Data Engineer
@ Rubicon Path
Toronto, Ontario
En bref
Rubicon Path is hiring a hands-on Data Engineer to build high-throughput data frameworks and scalable ingestion pipelines on Azure and Databricks. The role covers Medallion-architecture data lakes, migration from Hive Metastore to Unity Catalog, and enabling Power BI dashboards. The posting asks for 5+ years of hands-on Databricks experience and a bachelor's degree in a computer or IT field.
Responsabilités :
- Design and build scalable data ingestion pipelines with Azure Data Factory and Databricks
- Build structured data lakes using Medallion architecture
- Migrate Hive Metastore to Unity Catalog and configure permissions
- Design and secure Delta tables
- Enable Power BI integration and dashboard-ready datasets
Résumé des exigences :
- 5+ years of hands-on Databricks experience
- Strong Databricks SQL/Scala data engineering skills
- Strong Unix, Python and complex SQL experience
- Azure cloud and Apache PySpark experience
- Bachelor's degree in a computer or IT related subject
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
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 | 5 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer science, Information technology |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Rubicon Path
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 578 |
Who we are looking for
This is a hands-on Data Engineer position. We are looking for candidate with good knowledge on Bigdata technology and strong development experience with Databricks.
What you will be responsible for
As Data Engineer you will
- Design & Develop custom high throughput and configurable frameworks/libraries
- Architect and implement scalable data ingestion pipelines using Azure Data Factory and Databricks
- Transform raw datasets into structured data lakes (Medallion architecture: bronze, silver, gold)
- Convert Hive Metastore to Unity Catalog and configure associated permissions
- Design and secure Delta tables with appropriate schema and access controls
- Enable business intelligence through Power BI integration and dashboard-ready datasets
What we value
These skills will help you succeed in this role
- Experience performing data analysis and data exploration
- Experience working in an agile delivery environment
- Strong knowledge on Databricks SQL/Scala - Data engineering pipeline
- Strong Experience in Unix, Python and complex SQL
- Strong critical thinking, communication, and problem-solving skills
- Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
- Azure cloud, Apache PySpark
Education & Preferred Qualifications
- Bachelors Degree level qualification in a computer or IT related subject
- 5+ years of Databricks hands on experience
- Data Bricks Data Engineer Professional Certification
Journal
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