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

Disclaimer: AI may be used in evaluating candidates.
This posting is for an existing vacancy.

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📌 Senior QA Automation Engineer (6+ years of experience) to build and evolve quality-control framework (Ontario)
🏢 S.i. Systems
📍 Ontario