Data Quality QA Engineer Hybrid

Join Curinos as a Data Quality QA Engineer focused on ensuring data integrity. Use your expertise in API testing and UI automation to contribute to an AI-driven platform.

This position is ideal for a QA professional looking to specialize in data quality assurance. At Curinos, you will work in a hybrid environment, developing validation frameworks and automation pipelines. This role requires you to be efficient with Postman, Python, and various data validation techniques while collaborating with diverse teams to meet compliance standards.

Key Responsibilities:

• Ensure API responses match business logic using automated tests

• Design data quality frameworks in Python for validation

• Conduct comprehensive data validation across multiple platforms

• Utilize AI tools for test case generation and optimization

• Maintain quality dashboards to track validation outcomes

Requirements:

• 4-7 years of relevant QA automation experience

• Strong Python and API framework proficiency

• Familiar with SQL and data quality dimensions

• Knowledge of data governance standards

• Experience with cloud platforms is a plus

Enhance your career by ensuring data quality at Curinos.
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