Responsibilities
Team introduction: TikTok is an international short video platform covering 150 countries and regions. We hope to discover real and interesting moments through TikTok and make life better. TikTok has offices around the world, with global headquarters in Los Angeles and Singapore, and offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo. The TikTok R&D team aims to realize the R&D work of TikTok business and build and maintain industry-leading products. Join us, you will be exposed to core business scenarios including user growth, social networking, live broadcast, e-commerce C-end, content creation, content consumption, etc., to support the rapid development of products in the global track you will also be exposed to technical challenges in service architecture, basic technology and other directions, to ensure that the business continues to serve users with high quality, high efficiency and security at the same time, you can provide comprehensive technical solutions for different business scenarios and optimize various product indicators and user experience. Here, there are big cows leading the team to explore the frontier and break through the imagination space. Here, every line of your code will serve hundreds of millions of users. Here, the team is professional and pure, and the cooperative atmosphere is equal and relaxed. Currently, multiple job opportunities are open in Beijing, Shanghai, Hangzhou, Guangzhou and Shenzhen. 1. Participate in the processing and integration of massive data resources, and serve various scenarios such as privacy and security 2. Build offline data warehouses and real-time data warehouses based on platforms such as Hive/Flink 3. Be good at understanding and reasonably abstracting business needs, giving full play to the value of data, and be proficient in technical solutions for data analysis and data model development 4. Continuously innovate, promote the construction of data infrastructure such as portrait platforms and bloodline platforms, and continuously expand the support scenarios and application scope of the platform.
Qualifications
1. Familiar with multiple big data processing/analysis related tools/frameworks, such as Hadoop, Mapreduce, Hive, Storm, Spark, Flink, etc. 2. Familiar with data warehouse implementation methodology, in-depth understanding of data warehouse system, and support for actual business scenarios 3. Excellent understanding and communication skills, can quickly understand the business background, strong business and data understanding ability, sensitive to data, advocate data speaking, and believe in the value of data in driving business and supporting decision-making 4. Have a solid foundation in data structure and algorithm, and be familiar with at least one Programming languages, including but not limited to Java, Python, Go, etc. 5. Have a strong passion for learning new technologies and understand the development trends of industry technology Bonus points: 1) Participated in data construction such as portrait platforms, data lineage, feature engineering, etc. 2) Have relevant experience in the field of privacy compliance.
