Job Role: DataOps/Cloud Data Engineer - Senior (ETL/Databricks experience)

Location : Toronto, ON/Onsite

Position Type : Contract Role

Start Date

2026-10-05

End Date

2027-03-31

5 days Onsite in a week

Ideal Candidate Rate: CAD 85-90/Hr (Depending on the experience)

Must Have:

- Design, build, automate and optimize complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT) and equivalent.
- Development of unified data platforms using Databricks and Unity catalog or its equivalent.
- Relational databases (Oracle, MySQL, SQL Server), data modelling (relational & dimensional), advanced SQL, query optimization, data replication, administration.
- Advanced SQL skills (PL/SQL, TSQL).
- Big Data processing Frameworks (PySpark).




- Proficient in creating Azure Data Factory pipelines for copy activity and custom data pipelines in Databricks with CI CD (Azure DevOPS Git Integration) .
- Data migration and data integration across different platforms Oracle to Azure Data Lake, Oracle to Databricks, Oracle to Microsoft Fabric.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

📌 DataOps/Cloud Data Engineer - Senior (ETL/Databricks experience) (Toronto)
🏢 Bevertec
📍 Toronto