Data Quality & Test Engineer II / SDET II responsible for designing, developing, and maintaining robust data testing and automation solutions, ensuring data quality across enterprise data platforms and related applications.
Locations (8)
Mumbai, Maharashtra, India
Seattle, Washington, United States
London, England, United Kingdom
New York, United States
Toronto, Canada
Sydney, New South Wales, Australia
Show all 8 locations
Tokyo, Tokyo, Japan
Shanghai, China
Responsibilities
Participate in all phases of the Agile development process
Design, develop, and maintain scalable test automation frameworks for enterprise data platforms, data pipelines, APIs, backend services, and data-centric applications
Collaborate with data engineers, developers, product managers, business analysts, data stewards, and platform teams to understand requirements and define test strategies
Implement automated test cases to validate source-to-target mappings, ETL/ELT workflows, data transformations, data quality rules, reconciliations, and business logic
Perform functional, regression, integration, system, and data validation testing using automation tools and repeatable test data approaches
Requirements
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Data Analytics, or related field