The promotion engine operates on centralized pooled data pipelines powered by Kafka, which are shared across several systems. The engineer will be responsible for validating Kafka data streams used in promotion calculations and ensuring data consistency across promotion, reporting, and referral systems. The role also involves recommending improvements to data structures and storage strategies to support scalability and performance. Since the same pooled data is utilized by multiple systems, maintaining high standards of data accuracy, structural integrity, and consistency is essential to ensure that reporting outputs correctly reflect the underlying promotion calculation logic.
Execute automated tests regularly to detect defects early test stage.
Develop and manage comprehensive Test Plans, Test Scenarios, Test Cases, and Test Data based on the business requirements, user stories, or functional/ technical specifications.
Execute various testing types, including smoke, regression, functional, non-functional, system, integration, and end-to-end tests according to test plan.
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