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Responsibilities: 1.Design, build and own the core data models and systems that able to support petabyte of data pipeline across the Tencent\'s overseas games. 2.Analyze large amounts of players\xe2\x80\x99 data with business use cases to bridge the gaps of data-driven lifecycles. Partner with multiple internal teams and external partners to collect requirements and deliver large-scale data solutions for various analytics and business applications. 3.Collaborate with product team to define, create, and maintain data applications and platform such as real-time platforms, data pipeline, telemetry implementation, and machine learning deployment to help achieve Tencent\'s publishing goals. 4.The challenges range from building real-time and offline distributed data processing pipelines for feature engineering and automation as well as building systems and frameworks to deploy, scale, test, monitor real-time machine learning models and user acquisition algorithms.
Requirements: 1.Advanced degree in Computer Science, Engineering, Mathematics or equivalent technical field. Programming and scripting language (e.g. SQL, Python, Java/Scala, Golang). 2.4+ years of professional software development: experience in backend development experience with interest in work involving data pipelines, distributed systems, and large-scale data processing. 3.Experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Impala, HBase etc.) for building efficient and large-scale data pipelines. 4.Experience shipping scalable data solutions in the cloud (AWS, Azure, GCP) and database technologies such as Snowflake, Redshift, SQL/NoSQL and or columnar databases. 5.Dynamic team player with ability to handle numerous requests concurrently and strategically, prioritizing when necessary. 6.Strong problem-solving skills with an ability to isolate, deconstruct and resolve complex data engineering challenges. 7.Ability to communicate with worldwide business stakeholders regard data products and technical requests. Proven track record to clearly form and communicate ideas to both technical and non-technical worldwide audiences.