Released at

2023-Feb-25

Close at

2023-Apr-30

Job Type

FULLTIME

Salary

SGD 9000 per MONTH

Location

, , Singapore

Company Description

At HoYoverse, we are committed to creating immersive virtual world experiences for players around the world. In addition to game products such as Genshin Impact, Honkai Impact 3rd, Tears of Themis, and Honkai: Star Rail, HoYoverse also launched the dynamic desktop software N0va Desktop, the community product HoYoLAB, and created a variety of products such as animations, comics, music, novels, and merchandise around our original creative concept. Adhering to our mission of Tech Otakus Save the World, we have always been committed to technology research and development, exploring cutting-edge technologies, and have accumulated leading technical capabilities in cartoon rendering, artificial intelligence, cloud gaming technology, and other fields. HoYoverse is actively engaged in globalization, with offices in Singapore, Montreal, Los Angeles, Tokyo, Seoul, and other areas.

Job Description

    1. Build and maintain the internal big data platform, optimize the architecture of the data pipeline.
    2. Participate in the construction of a unified data warehouse in hierarchical architecture and support ETL requirements of various features.
    3. Resolve data-related technical requirements and issues of our platform team.

Requirements

    1. Bachelor's degree or above in Computer Science or related majors.
    2. Good knowledge of data structure and algorithm foundation.
    3. At least 2 years of experience in the data warehouse.
    4. At least 2 years of experience in custom ETL design, implementation, and maintenance.
    5. At least 2 years of experience with SQL statements, schema design, and dimensional data modeling.
    6. At least 2 years of experience working with big data technologies such as Hadoop, Hive, Spark, Kafka,Hbase, etc.
    7. Proficient in at least one object-oriented programming language such as Java, Scala, Python, etc.
    8. Good communication skills, including the ability to identify and communicate data-driven insights.
    9. Self-driven and always pursuing high engineering quality.
    10. Fluent in Mandarin and English to liaise with teams.

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