We are looking for a QA Automation Engineer, responsible for designing, developing, and executing automated tests for an important client in the healthcare performance improvement industry. You will collaborate closely with cross-functional teams, including software developers, QA engineers, Data engineers and product owners to identify test requirements and develop effective test strategies for high-volume data solutions.

Main responsibilities:

• Design, develop, and maintain automated test scripts for web and desktop applications.
• Execute automated tests and analyze test results to identify defects, inconsistencies, and performance issues.
• Understand the underlying data workflows and design effective testing strategies to ensure data quality and accuracy
• Develop automated tests that validate the functionality and performance of data pipelines, write test scripts that interact with Databricks pipelines and perform end-to-end testing.
• Collaborate with engineers with ensuring data integrity and consistency. 
• Leverage Databricks and Cypress to create performance and scalability tests that simulate heavy data loads and monitor system behavior under different conditions to help identify potential bottlenecks and performance issues.
• Report bugs and issues related to data processing, transformations, and analysis.
• Collaborate with other engineers to improve testing processes, tools, and methodologies.
• Collaborate with product owners to understand requirements, identify test scenarios, and define acceptance criteria.
• Ensure on-time delivery of agreed milestones and deliverables.

Requirements:

• Proven track record in automation with Cypress.
• Demonstrated expertise in API testing, including the ability to design, implement, and assess API functionalities.
• Proficient in Javascript and SQL.
• General understanding of Databricks.
• Familiarity with Agile/Scrum methodologies.

Soft Skills:

• Proactive attitude and strong sense of self-motivation.
• Excellent organization skills and attention to detail.
• Strong analytical skills to understand and solve complex problems.
• Effective English communication skills, both written and spoken.
• Experience in gathering, analyzing, and refining project requirements.

Nice to have/It is a plus:

• Previous experience in high-volume data projects.