Booking.com is seeking to build a platform for data analysts and scientists to effectively leverage data for personalizing customer experiences and solving complex business problems like fraud detection and property recommendations. The Data Privacy Platform team specifically aims to support and protect customer privacy by tokenizing and securely managing Personally Identifiable Information (PII) across Booking's systems and services.
Requirements
- Tokenization & De-tokenization services for PII (e.g., during registration or booking workflows)
- Real-time scanning of ingested data into BDX (Big Data Platform), identifying and classifying PII at scale (terabytes/day)
- Providing privacy solutions across Booking & BDX, ensuring compliance with data privacy standards
- Handles ~1.5 million requests per second, making it one of the top two highest-throughput services at Booking
Responsibilities
- Be part of a squad-like, multi-disciplinary team.
- Own and lead technical aspects of every project you are a part of.
- Design, build, and monitor scalable and high-performance services to solve business needs.
- Set up necessary CI/CD pipelines, adding appropriate tests for your services.
- Work mainly with Java, NodeJS and Python.
- Rapidly developing and improving scalable, flexible, and high-performance API service.
- Build and solve issues with data and data pipelines, prioritizing based on customer impact.
Other
- Act as an intermediary for problems, with both technical and non-technical audiences.
- Supplying a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide.
- Promote and drive impactful and innovative engineering solutions.
- Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation.
- Take initiative to address the larger technical needs of the product you work on and always keep the customer at the center of everything you do.
