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, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok. About the Team The Multimedia Data Platform team is responsible for optimizing app experience related to performance for TikTok users by providing data support. Working in collaboration with various teams throughout TikTok, the data platform team focuses on the creation and consumption of video content to provide comprehensive optimization solutions. This includes end-to-end optimization solutions such as client, video shooting, uploading, video playback, video delivery and player, etc. Responsibilities: Our Multimedia data platform team work closely with our product managers and data analysts by building state of the art streaming and batch data processing solution. The entire data pipeline is not only supporting the core business at TikTok -- short video, but also horizontal business across TikTok. In this role, you will see a direct link between your work, and the company's business success. You will have opportunities to deal with Petabyte-level data warehouse. Some of the world's most challenging technical and business problems are waiting for you to solve. - Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the Data Engineering ecosystem to build systems that meet quality needs. - Build systems and datasets using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices. - Analyze systems, define transformation requirements, design suitable data models and document the design/specifications. - Demonstrate passion for quality and productivity by using efficient development techniques, standards and guidelines. - Drive the design, to build, execute, and maintain automated tests and/or manage deep data profiling runs to ensure data products and pipelines meet expectations - Partner with analysts, engineers, subject matter experts, and product managers to apply TikTok Multimedia analytical and quality methods to satisfy client needs. - Participate in the growth of the Data Quality Excellence practice by sharing knowledge and lessons learned, continually improving best practices, and contributing to methods that will systematically advance workforce capabilities - Effectively communicate through technical documentation, commented code, and interactions with stakeholders and adjacent teams - Contribute to building a vibrant workplace, where teams can thrive, and model the organization’s positive, supportive culture of respect and excellence