Palo Alto, CA, United States
May 3, 2024
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Responsibilities:
Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.
Responsibilities
Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.
Responsibilities
- You will be responsible for the raw data pipeline for all Tencent oversea games.
- You will be expected to effectively partner with upstream engineering teams and downstream consumers, including data analysts, data scientists and ML engineers.
- Minimal 1-2 years of technical experience designing, building, and maintaining distributed data processing platforms.
- Minimal 1-2 years of industry experience working with batch or streaming distributed data processing technologies. e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Presto, etc. for building efficient & large-scale data pipelines.
- Minimal 1-3 years of data modeling experience designing data warehouse table schemas and logging schemas.
- Proficiency in at least one high-level programming language (Java, Scala, Python, Go or equivalent).
- Experience with large, complex, highly dimensional data sets; hands-on experience with SQL.
- Experience working with cross-functional teams to collect business requirements, build consensus, and manage expectations.
- You are self-directed and capable of operating amidst ambiguity.
- You are humble, continually growing in self-awareness, and possessing a growth mindset.
- You are curious and have excellent written and verbal communication as well as problem-solving skills.
