We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.What the Role Entails
* Design, build, and maintain efficient, scalable data architectures and pipelines.
* Process and transform large-scale datasets, ensuring data quality and integrity.
* Optimize ETL processes to enhance data processing efficiency and reliability.
* Collaborate with the data analytics team to provide necessary data support, ensuring timeliness and accuracy.
* Work with product and engineering teams to drive data-driven decision-making and product optimization.
* Design and implement data warehouse solutions, supporting both data lake and data warehouse architectures.
* Ensure data security, privacy, and compliance, adhering to best practices in data management.
Qualifications:
* Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related field.
* At least 2 years of experience in data engineering, with hands-on experience in big data processing and pipeline design.
* Proficient in SQL, with the ability to handle complex queries and optimizations.
* Familiarity with big data technologies such as Spark, Hive, Flink, Kafka, etc.
* Proficient in programming languages such as Python or Java, with good coding practices.
* Experience with database design, data warehousing, and ETL tools (such as Airflow, Luigi).
* Familiarity with cloud platforms (AWS, Azure, GCP) and data lake technologies (Iceberg, Delta Lake).
* Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and drive project progress.
* Bonus: Experience in data quality, data governance, or related fields.
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
- Bachelor's degree or higher in Computer Science, Information Technology, Data Science, or related field
- At least 2 years of experience in data engineering with hands-on experience in big data processing and pipeline design
- Proficient in SQL with ability to handle complex queries and optimizations
- Familiarity with big data technologies such as Spark, Hive, Flink, Kafka
- Proficient in programming languages such as Python or Java
- Experience with database design, data warehousing, and ETL tools (e.g., Airflow, Luigi)
- Familiarity with cloud platforms (AWS, Azure, GCP) and data lake technologies (Iceberg, Delta Lake)
- Strong communication and teamwork skills for collaboration
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.
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