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

Robust 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

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📌 Databricks Data Engineer (Ontario)
🏢 Rubicon Path
📍 Ontario