Prioritize security and performance: Build secure, scalable, and high-performing applications by adhering to best practices and considering security and performance implications in every decision.
Embrace knowledge sharing: Actively contribute to our culture of knowledge sharing by documenting your work, mentoring junior engineers, and participating in knowledge-sharing sessions.
Drive innovation: Stay abreast of emerging technologies and explore their potential applications to improve our systems and processes.
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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.
Prioritize security and performance: Build secure, scalable, and high-performing applications by adhering to best practices and considering security and performance implications in every decision.
Embrace knowledge sharing: Actively contribute to our culture of knowledge sharing by documenting your work, mentoring junior engineers, and participating in knowledge-sharing sessions.
Drive innovation: Stay abreast of emerging technologies and explore their potential applications to improve our systems and processes.
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