Publié il y a 16 jours
Databricks Data Engineer
@ Celebal Technologies
Ottawa, Ontario
SIGNAUX
Résumé des exigences :
- Experience: 8+ Years
- Own end-to-end data engineering delivery, from requirements gathering to production deployment.
- Required Skills
- 8+ years of hands-on enterprise data engineering experience.
- Strong production Databricks experience , including PySpark, Delta Lake, and Unity Catalog.
- Experience with AWS or another major cloud platform.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-25
- Première détection par notre source
- 2026-11-11
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Celebal Technologies
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 5 |
Description
Role - Databricks Data Engineer
Location: Ottawa, Canada
Employment Type: Contract
Experience: 8+ Years
Company: Celebal Technologies
Role Overview
We are seeking a hands-on Lead Databricks Data Engineer to design, develop, and optimize enterprise-scale data pipelines and AI-ready data platforms using Databricks and AWS.
Key Responsibilities
- Design and develop scalable ETL/ELT pipelines using Databricks, PySpark, Python, and Advanced SQL.
- Implement Delta Lake and Medallion Architecture (Bronze/Silver/Gold).
- Manage data governance, lineage, and access controls using Unity Catalog.
- Build reusable data models, dimensional models, and AI-ready data products.
- Optimize Spark workloads, clusters, and pipeline performance.
- Implement Git, CI/CD, DataOps, data quality checks, and production monitoring.
- Own end-to-end data engineering delivery, from requirements gathering to production deployment.
Required Skills
- 8+ years of hands-on enterprise data engineering experience.
- Strong production Databricks experience, including PySpark, Delta Lake, and Unity Catalog.
- Expertise in Advanced SQL, Python, Spark, and dimensional data modeling.
- Experience with AWS or another major cloud platform.
- Strong understanding of data governance, performance tuning, and CI/CD.
- Ability to independently design and deliver scalable data engineering solutions.
Preferred Skills
- Databricks Genie / AI/BI, semantic layers, and AI-ready data products.
- Manufacturing, Supply Chain, ERP/MES, or Tableau experience.
- Cloud migration, ML/MLOps, and data platform modernization.
Journal
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