Real-Time Data Pipeline for Personalized Travel Recommendations

In the competitive Travel & Tourism industry, the ability to offer personalized travel experiences is critical for maintaining customer engagement and driving bookings. Our startup is focused on creating a dynamic travel platform that provides real-time, customized recommendations to users. We need a data engineer to develop a real-time data pipeline using Apache Kafka for event streaming, Spark and dbt for data processing and transformation, and Snowflake or BigQuery for data warehousing. This pipeline will capture and process data on user interactions, travel trends, and regional events to deliver immediate, personalized travel suggestions. The successful candidate will also implement data observability tools to monitor data quality and ensure the reliability of our recommendation engine. An understanding of MLOps is beneficial, as this project will eventually integrate machine learning models to further enhance personalization. The completion of this project will position us as a leading provider of tailored travel experiences, ultimately increasing user retention and revenue.