Data Engineer, Ad Data
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Jul 6, 2026.
岗位职责 / Responsibilities
Ad Data is the cornerstone of every business decision that millions of advertisers make every day on TikTok. Therefore, we are tasked with innovating on a daily basis to create and maintain complex systems at large scale and continue expanding the capacity to better serve advertisers growing at an exponential pace.
You will share in the ownership of the technical vision and direction for advanced Ad Data products. You will be a part of a team of top notch technical professionals developing scalable systems and with a focus on sustained operational excellence. Members of this team will be challenged to innovate using cutting edge technologies. We are looking for people who are highly motivated by aiming for the highest, moving fast, and changing the way customers use data to drive profitability.
Responsibilities
- Work with product managers and operations team to design data-related products.
- Communicate with engineers, product managers and product analysts to understand data needs.
- Build up data expertise and own data quality for allocated areas.
- Design, build and launch new data ETL processes in production.
- Support existing streaming and batch system in production, solve the on-call issues.
- Define and manage SLA for all data sets in allocated areas.
- Work with data infrastructure to triage infra issues and drive to resolution.
任职要求 / Requirements
Minimum Qualification(s)
- Bachelor's degree in a technical field, Computer Science or Mathematics.
- At least 2 years of experience in the data warehouse space.
- At least 2 years of experience with schema design and dimensional data modeling.
- At least 2 years of experience in custom ETL design, implementation and maintenance.
- At least 2 years of experience working with big data technologies such as Hadoop, Hive, Spark, etc., and a minimum of 2 years of experience with SQL statements.
- Hands-on experience with at least one programming language, e.g., Python; familiarity with AI tools and hands-on experience applying them to improve productivity and problem-solving.
- Good communication skills, including the ability to identify and communicate data-driven insights.