First seen by our source: 22 days ago
Databricks Data Engineer
@ Rubicon Path
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-15
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer science, Information technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Rubicon Path
| Field | Value |
|---|---|
| Open jobs on 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
Only you can see this. Kept on this device, and in your account when you sign in.