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

TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Creation 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.About the teamThe Applied AI (AAI) Team is a data science team that is part of the Monetization Integrity team in the Global Business Solutions of TikTok.

It supports the Data Cycling Center, which focuses on empowering businesses with affordable and trusted data & models.Responsibilities:- Construct, maintain, and test architectures, such as databases and large-scale processing systems.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.- Work with stakeholders including the PMs, Data Scientists, and Machine Learning Engineer teams to assist with data-related technical issues and support their data infrastructure needs.- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

QualificationsMinimum Qualifications:- BS or above in Computer Science, Software Engineering, Data Science, or a related field- 2 years of experience with big data tools: Hadoop, Spark, Kafka (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink)- Experience with ETL (Extraction, Transformation & Loading) and architecting data systems- Experience with schema design and data modeling, performing data analysis, data ingestion, and data integration- Experience supporting and working with cross-functional teams in a dynamic environment.- Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable- Excellent XFN communications skills; able to communicate analytical and technical content in an easy-to-understand way to both technical and non-technical audiences- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutionsPreferred Qualifications:-5 years of experience with Big Data toolsTikTok 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.