Big Data Development Engineer (Tea), Data Platform
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Aug 12, 2026.
岗位职责 / Responsibilities
Tea (Toutiao Event Analyze) is an in-house analytics platform that is heavily used by more than 10,000 employees globally. This is a data middle platform product built on user behavior data, providing data analysis services for various domestic and international businesses within ByteDance/TikTok, including Douyin, Toutiao, Xigua, TikTok, and more. It possesses robust capabilities to support exabyte-level massive data, trillion-level event volume, and millisecond-level response time, offering users simple, flexible, and high-performance data analysis services.
We are the global engineering team for Tea. We are passionate about building the best data analytics platform in the world and are looking for top-notch software engineers to join the talented team. We deliver Tea products to over ten regions worldwide, optimizing product performance based on the unique data and cultural characteristics of each region.
Responsibilities:
- Oversee the deployment, configuration, monitoring, and maintenance of big data platforms.
- Implement and optimize the infrastructure for big data storage, processing, and computation.
- Participate in the architectural design, performance tuning, and troubleshooting of big data platforms.
- Analyze and resolve complex system performance and stability issues to ensure system reliability and stability.
- Write technical documentation to record system configurations and operational procedures.
- Update software, enhance existing software capabilities and develops and direct software testing and validation procedures.
任职要求 / Requirements
Minimum Qualification(s):
- Bachelor's Degree in Computer Science or a related discipline.
- At least 1 year of relevant experience in software engineering.
- Experience in big data platform operations, familiarity with technologies such as Hadoop, Spark, Clickhouse, etc.
- Solid programming skills, proficient in at least one programming language (e.g., Java, Scala, Python).
- Strong foundation in computer science, familiarity with operating system principles, data structures, and algorithms.
Preferred Qualification(s):
- Familiarity with and adherence to international data protection regulations; ability to formulate and execute compliance-oriented strategies.
- Experience in deploying and maintaining big data platforms across multiple global locations; familiarity with cross-geographical operational challenges.
- Strong problem analysis and resolution skills.
- Excellent teamwork and communication skills, experience in project management.