Real-Time Data Pipeline for Personalized Travel Recommendations

As a startup in the Travel & Tourism industry, we are dedicated to revolutionizing the travel planning experience by offering personalized recommendations to our users. We are seeking a skilled data engineer to build a robust real-time data pipeline that processes user interactions and preferences effectively. The goal is to enhance our recommendation engine using advanced data engineering techniques and technologies. This pipeline should integrate with our existing architecture, utilizing Apache Kafka for event streaming, Spark for in-memory data processing, and Airflow for orchestrating complex workflows. Additionally, the data pipeline will feed into a Snowflake or BigQuery data warehouse, where machine learning models can analyze and predict user preferences. Event streaming will ensure that our recommendation engine responds to user behavior in real-time. The successful implementation of this project will significantly enhance user satisfaction and drive more engagement with our platform, ultimately resulting in increased bookings.