About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

Job highlights

Positive team atmosphere, Career growth opportunity, Flat organization, Competitive compensation

Responsibilities

- Work closely with Product Managers, Data Scientists/Analysts, and Software/Machine Learning Engineers and other stakeholders to understand data requirements and deliver data solutions that meet business needs.

- Evaluate, implement and maintain data infrastructure tools and technologies to support efficient data processing, storage and query.

- Design, build and optimize scalable data pipelines to ingest, process and transform large volumes of data.

- Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.

- Ensure the data integrity, accuracy and consistency of data by implementing data quality checks, validation processes and monitoring mechanisms.

- Continously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability.

- Provide rapid response to SLA oncall support to business critical data pipelines.

- Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.

Minimum Qualifications:

- Bachelor's degree or higher in Computer Science

- Minimum 4 years of experience in building data systems from 0 to 1

- Minimum 4 years of experience in SQL with hands-on experience in relational (e.g., MySQL, Postgres) and non-relational (e.g., NoSQL, ODPS and Hive) databases.

- Minimum 4 years of experience in data warehouse frameworks such as ODPS, Flink and Lambda architectures.

- Proficiency in programming languages such as Python and Java.

- Solid understanding of data modeling and data warehousing concepts, data integration and ETL techniques.

Preferred Qualifications

- Effective communication skills and ability to collaborate effectively with cross-functional teams.

- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment