Job Information

- Department Name Banking
- Date Opened 07/31/2026
- Industry IT Services
- Job Type Full time
- Work Experience 5+ years
- City Toronto
- State/Province Ontario
- Country Canada
- Zip/Postal Code M4C

About Us

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

Job Description

Job Summary:

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).

Build and optimize complex data transformation logic using Azure Databricks (PySpark and SQL).

Lead and execute on-premises to Azure cloud migrations for data platforms, ETL workflows, and applications.

Develop, deploy, and support applications using Azure App Service and Azure Functions.





Design data models and perform query optimization and performance tuning using Azure SQL.

Implement and manage data storage solutions using Azure Data Lake Storage Gen2 (ADLS Gen2) and Delta Lake.

Apply robust data orchestration, scheduling, and error-handling patterns to ensure reliable data processing.

Leverage core Azure services such as VNets, Storage Accounts, Key Vault, and IAM to build secure and scalable cloud solutions.

Monitor, troubleshoot, and optimize data pipelines and Azure resources using appropriate monitoring tools.

Required Skills & Qualifications

Strong hands-on experience with Azure Data Factory (ADF).

Proven expertise in Azure Databricks, including PySpark and SQL-based data transformations.

Hands-on experience in developing and deploying solutions using Azure App Service and Azure Functions.

Solid experience in on-premises-to-Azure migration projects, particularly for data platforms.

Advanced SQL skills, including data modeling, query optimization, and performance tuning in Azure SQL.

Working knowledge of Delta Lake, ADLS Gen2, and modern data lake architectures.

Good understanding of core Azure services and cloud security best practices.

Experience with monitoring and troubleshooting using Azure Monitor and Application Insights.

Kumaran Systems is an Equal Prospect Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.

📌 Data Engineer (Toronto)
🏢 Kumaran Systems
📍 Toronto