Our financial services client is seeking a Senior QA Automation Engineer (6+ years of experience) to build and evolve quality-control frameworks using Python, Selenium, PyTest, Azure Databricks, and Spark SQL Join a treasury and balance sheet management technology team supporting complex data movement, cloud-based analytics platforms, and enterprise data validation initiatives.

This role focuses on QA automation, reusable testing frameworks, API validation, and large-volume data quality controls across Azure-based data platforms.

The position offers exposure to high-volume integration projects within a banking setting and long-term contract potential.

Contract, Toronto, Hybrid, 4 days per week on site 79 Wellington Street 1 year Must Haves 6+ years in QA automation , test framework development , and testing complex data platforms or application platforms Python , Perl , reusable automation frameworks , and validation utilities Selenium , PyTest , API testing , regression testing , and functional testing SQL , data validation , data reconciliation , schema validation , and large-volume data movement testing Azure Databricks , Spark SQL , Delta Lake , PySpark , Azure Data Factory , and university degree in Computer Science, Math, Engineering, or related field Nice to Have Databricks notebooks, PySpark-based validation,



and Delta Lake quality checks Medallion or lakehouse architecture testing and performance-aware Spark SQL test design Great Expectations, Deequ, DBT tests, Airflow, Azure Dev

Ops pipelines, or Jenkins Financial services, treasury, capital markets, liquidity, regulatory reporting, or balance sheet management experience Test documentation, traceability, defect summaries, control evidence, and audit-ready validation artifacts Responsibilities Design, develop, and maintain automated testing frameworks for data pipelines, APIs, cloud data platforms, and application workflows Create automated controls for completeness, accuracy, reconciliation, schema validation, anomaly detection, and data quality checks Develop and execute test strategies for Azure-based data solutions including Azure Databricks, Spark SQL, Delta Lake, and Azure Data Factory Build automated validation for REST APIs, service integrations, data ingestion, and downstream outputs Collaborate with testing leads, business users, BSAs, developers, and platform engineers to define test coverage and support delivery Apply Microsoft Copilot, Git

Hub Copilot, and agent-based workflows to support test generation, automation development, documentation, and defect analysis

📌 Senior QA Automation Engineer (6+ years of experience) to build and evolve quality-control frameworks using Python, Selenium, PyTest, Azure Databricks, and Spark SQL 58522 (Toronto)
🏢 S.i. Systems
📍 Toronto