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.
- Robust 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.

📌 Databricks Data Engineer (Ottawa)
🏢 Celebal Technologies
📍 Ottawa