Big Data Engineer - Data Lake / Feature Store

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. About The Team The batch processing team is responsible for the company's offline data processing and distributed training, supporting various business scenarios such as offline ETL and machine learning within the company. The components involved include the offline computing engine Spark, the in-house distributed training framework Primus, feature storage solutions like Iceberg and Hudi, as well as Ray, a next-generation distributed application framework. Faced with massive-scale scenarios, extensive functional and performance optimizations have been carried out in Spark, Primus, Feature Store, and support for the adoption of the new-generation distributed application framework Ray in relevant company scenarios. What you will be doing: - Responsible for the development and performance optimisation of the in-house Feature Store functionality based on Iceberg; - Participant in optimisation of the integration of Iceberg with various upper-level computing engines; - Involve in platform-related infrastructure development.