- Support the development of backend services and APIs to support WeChat's product and data needs.
- Build and maintain large-scale data pipelines for ingestion, transformation, and analytics across distributed systems.
- Work with the data platform team to optimize storage and query performance on systems such as ClickHouse, Hive, and Apache Iceberg.
- Contribute to real-time data streaming infrastructure using tools such as Apache Pulsar or Kafka.
- Collaborate with product and data teams to translate business requirements into scalable technical solutions.
- Participate in code reviews and system design discussions with a strong eagerness to learn.
- Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, Mathematics, or similar quantitative field.
- Proficiency in at least one backend programming language: Python, Java, C/C++, or Go.
- Familiarity with big data ecosystems and tools such as Spark, Hive, Iceberg, ClickHouse, Kafka, or Apache Pulsar is a strong plus.
- Understanding of distributed systems concepts (e.g. data partitioning, replication, fault tolerance) is preferred.
- Self-driven, detail-oriented, and eager to learn in a fast-paced collaborative environment.
- Fluency in both English and Mandarin to work effectively with international teams and stakeholders based in HQ.
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Skills Required
- Pursuing a degree in Computer Science, Data Science, Mathematics, or similar field
- Proficiency in at least one programming language: Python, Java, C/C++, or Go
- Familiarity with big data tools such as Spark, Hive, ClickHouse, Kafka, or Apache Pulsar
- Understanding of distributed systems concepts
- Fluency in English and Mandarin
Tencent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.
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Healthcare Strength — Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
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Retirement Support — Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
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Strong & Reliable Incentives — Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.
Tencent Insights
What We Do
Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.
