Senior QA Automation Engineer

We are looking for a seasoned Senior QA Automation Engineer to lead quality assurance initiatives for a mission-critical Master Data Management platform. In this hybrid role, you will be responsible for ensuring the integrity, accuracy, and performance of complex financial data systems. You will design comprehensive test strategies and build robust automation frameworks to support high-volume data processing environments.

Our client is a prominent global player in the computer software industry, specializing in data-driven solutions and enterprise-grade platforms. They are known for fostering a culture of innovation and technical excellence, supporting large-scale digital transformations for clients worldwide. With a focus on high-performance engineering, they provide a collaborative environment that encourages professional growth and technical leadership.

Responsibilities

• Design and execute end-to-end test strategies covering functional, API, data quality, and performance layers.
• Develop and maintain automated test suites for RESTful APIs using Python and pytest.
• Create advanced data validation frameworks to verify golden record accuracy and complex business logic.
• Execute complex SQL queries against relational databases to ensure data integrity and consistency.
• Validate critical financial identifiers and corporate action processing workflows.
• Test UI stewardship screens and ensure seamless integration within CI/CD pipelines.
• Conduct performance and load testing to ensure high throughput for large financial data volumes.
• Collaborate with subject matter experts to translate complex data scenarios into actionable test cases.

Requirements

• 8-11 years of total QA experience with a strong focus on data or API testing.
• Expertise in Python-based automation including pytest and requests.
• Advanced proficiency in SQL for complex data validation and database testing.
• Hands-on experience with CI/CD integration and performance testing tools such as Locust, JMeter, or k6.
• Practical knowledge of AWS services including RDS, S3, and CloudWatch.
• Experience with MDM platforms, Reference Data management, or financial data quality testing is highly preferred.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Skills

Python, pytest, RESTful API testing, SQL, Data validation, CI/CD integration, Performance testing, MDM platforms, Reference Data management, Financial data quality testing, AWS, Locust, JMeter, k6