Data Pipeline Optimization for Enhanced Guest Experience in Cruise & Marine Tourism

As a rapidly growing company in the Cruise & Marine Tourism industry, we recognize the importance of utilizing data to enhance guest experiences and streamline operations. We are looking for an experienced data engineer to optimize our data pipeline, which will facilitate real-time analytics and provide actionable insights into guest preferences and operational efficiencies. This project involves implementing a robust data mesh architecture and leveraging event streaming technologies like Apache Kafka. We aim to deliver personalized service offerings based on guest data, ultimately enhancing the customer journey. The project will include setting up a scalable data infrastructure, utilizing technologies such as Spark for processing, Airflow for orchestration, and dbt for transformations. The engineer will also be responsible for integrating data observability tools to monitor data quality and pipeline health. End-to-end testing and deployment processes will be orchestrated using MLOps best practices to ensure smooth integration into our current systems. The project is critical for maintaining our competitive edge and meeting increasing customer expectations. This initiative is expected to significantly impact our revenue streams by increasing customer satisfaction and loyalty, resulting in repeat business and positive word-of-mouth.