Description
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive.

This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.Our Infrastructure Engineering team supports the company's fast growth by building and operating hyper-scale datacenters, managing the life cycle of server fleet, providing cloud solutions, and developing various infrastructure services and making sure they are scalable and are reliable.

Responsibilities - What You'll Do- Identify data sources with different types and categories, and collect large structured and unstructured datasets, files, logs, and variables.- Building and maintaining complex data ETL pipelines, and using and utilizing algorithms and models for mining data to support petabytes of real-time or offline data.- Validate, improve, and clean data by applying models/algorithms, like error analysis, uniform data, and accuracy validation.

- Analyze data based on trends and patterns, and interpret data with clear objectives in mind to help solve problems in multiple domains, like performance, cost, and bug digging. - Visualize data and define multiple perspectives of data view for multiple business purposes.- Establish solid engineering practice while collaborating with Data Engineers, Scientists, Software Engineers, and SREs.

QualificationsRequired skills and qualifications- 4-5 years of experience in data science.- Proficiency with building and optimizing Big Data pipelines and architectures.- Advanced with mathematics, and statistical analysis.

- Experience with Big Data technologies(Hadoop, Hive, Spark, Kafka, ClickHouse, Flink etc.)- Ability to think critically and to formulate solutions to problems in a clear and concise wayPreferred skills and qualifications- Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline.- Experience with Cloud Platforms, Sys, and Network Engineering is a plus.

- Natural curiosity and a creative mind.- Mathematical and statistical expertise.- Professional certification.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2RegularExperienced.