Real-Time Data Pipeline for Enhancing Customer Experience in Boutique Hotels

As a rapidly growing company specializing in hospitality management for boutique hotels, we are in need of a sophisticated data engineering solution to improve guest satisfaction and operational efficiencies. Our goal is to build a real-time data pipeline using technologies like Apache Kafka, Spark, and Airflow, which can seamlessly integrate data from various sources such as booking systems, guest feedback platforms, and in-house operations. This robust data infrastructure will enable us to perform real-time analytics, offering personalized guest experiences and optimizing resource allocation. We are looking for a data engineer who can design and implement a scalable data architecture that supports data mesh principles and provides data observability. The successful candidate will work closely with our data science team to ensure that the pipeline supports emerging needs such as machine learning operations (MLOps) and advanced event streaming. This initiative is vital for maintaining our competitive edge and responding swiftly to market demands.