Position Summary

We are seeking an experienced ETL QA Engineer with expertise in Databricks, ETL testing, data validation, and cloud-based data platforms. The successful candidate will be responsible for validating data pipelines, ensuring data quality, testing ETL processes, and supporting enterprise data migration and analytics initiatives within the banking domain.

Key Responsibilities

ETL & Data Validation

Databricks Testing

SQL & Database Testing

Test Automation

Defect Management

Banking Domain Compliance

Technical Skills

5 years of ETL/Data Testing experience.

Robust hands-on experience with Databricks and Apache Spark.

Advanced SQL skills for data validation and analysis.

Experience testing ETL tools such as:

Informatica

Talend

DataStage





Azure Data Factory (ADF)

SSIS

Cloud & Big Data

Experience with Azure, AWS, or GCP environments.

Knowledge of Data Lakes and Data Warehouses.

Understanding of Delta Lake concepts.

Familiarity with distributed data processing frameworks.

Testing Tools

JIRA

Azure DevOps

HP ALM / Quality Center

Selenium (optional)

Python-based testing frameworks

Preferred Skills

Python or PySpark knowledge.

Databricks SQL.

Data Automation Testing.

Exposure to Agile/Scrum methodologies.

- Banking or Financial Services domain experience.

📌 ETL Testing (Toronto)
🏢 Kumaran Systems
📍 Toronto