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.
Ensures continuous, cost-effective delivery of technology services and supports improvements that will improve services and capitalize on ways in which technology tools and automation can contribute to cost effectiveness and improved productivity.
Monitors the performance of systems using the metrics and other standards and requirements and expectations, such as a customer service orientation and established service level agreements.
On regular and incidental bases, reviews and assesses service.
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Ensures continuous, cost-effective delivery of technology services and supports improvements that will improve services and capitalize on ways in which technology tools and automation can contribute to cost effectiveness and improved productivity.
Monitors the performance of systems using the metrics and other standards and requirements and expectations, such as a customer service orientation and established service level agreements.
On regular and incidental bases, reviews and assesses service.
...
Ensuring there are no single points of failure in the infrastructure.
Continuously improving efficiency when setting up new cloud infrastructure and maintaining existing instances, ensuring automation, resilience, and security.
You will be passionate about the infrastructure as code paradigm
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