TripAdvisor, the world’s largest travel site, operates at scale with over 760 million reviews, opinions, photos, and videos reaching over 490 million unique visitors each month. We are a data driven company, and we have lots and lots of data!
The Data Warehouse team at TripAdvisor maintains our petabyte-scale data infrastructure that enables data scientists, engineers, and PMs to get the most value from our wealth of data. The infrastructure consists of maintaining core parts of TripAdvisor’s tracking infrastructure, data lake, and ETL solutions. The team continues to enhance the platform to a near-real time processing capability that runs at scale across multiple environments.
The ideal candidate will have experience developing production-quality software for large-scale distributed environments. Our technology stack is a hybrid of open-source Hadoop and house-build distributed platforms, as well as AWS based solutions such as Snowflake. A successful engineer will understand how to efficiently build an infrastructure capable of ingesting tracking data from one of the largest web sites and enable it to be efficiently used by hundreds of internal customers across diverse warehouse and analytics platforms.
What you will be doing:
What projects you could be working on:
What you will bring to the team:
Code it today. Launch it tomorrow. The power to positively impact millions of travelers worldwide can be yours on our Engineering & IT Team. We're at the forefront of technology, leveraging the newest innovations, working with big data and solving complex problems alongside the best in the business.