DataOps/Cloud Data Engineer - Senior

Toronto, ON
On-site
Posted Oct 17, 2026
1 position

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Employment type: Full-time
Experience level: Senior · 8+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, build, automate, and optimize complex ETL/ELT processes and unified data platforms using Databricks and related technologies. Develop data pipelines and support data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Job details

DataOps/Cloud Data Engineer - Senior Onsite - Toronto ON Mandatory Skills and Experience (8+ years experience): 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. Desirable Skills and Experience: Data lake design and development with focus on extracting, transforming data coming from various data sources and loading into Lakehouse in medallion architecture. Advanced skills and hands-on experience with Oracle databases, Azure SQL Server and Azure Data Factory. Cloud technologies (Azure, Google, AWS). PL/SQL for data extraction, transformation, and loading, initial setup and other ETL experience management and support, such as troubleshooting, performance tuning, failover and recovery. Scripting languages (Python, Unix shell, Scala).

What you’ll do

Requirements

Requires 8+ years of experience with Databricks, data engineering, relational databases, advanced SQL, and big data processing frameworks such as PySpark. Experience with Azure Data Factory, CI/CD using Azure DevOps, data modeling, database administration, and cross-platform data migration is required; cloud platforms and scripting languages are desirable.