Develop and continuously iterate the data platform
Build and maintain data pipelines for user behavior data processing based on Flink, ensuring the completeness, accuracy, and stability of tracking data.
Design and maintain the user tagging system, including tag generation, quality validation, and tag governance.
Build and maintain data application pipelines to support downstream data needs from product, operations, analytics, and algorithm teams, including behavior and user tag data.
Collaborate closely with product managers, data analysts, and business teams to drive the application of user data in refined operations and product optimization.
Continuously improve the performance, observability, maintainability, and scalability of the data application pipeline.
Qualifications
Bachelor's degree or above in Computer Science, Software Engineering, Data Science, or related fields. At least 5 years of experience in complex system development.
Proficient in Java, Python, and SQL for data application development or data processing.
Familiar with the Apache Flink framework and experienced in real-time or near real-time processing of user behavior data.
Solid understanding of event tracking systems, including event definitions, attributes, user ID mapping, and tracking data flow.
Familiar with common user tag categories (e.g., behavioral tags, attribute tags, statistical tags) and their production mechanisms.
Experience with relational databases (RDBMS), NoSQL databases, and analytical data systems (OLAP), such as MySQL, Redis, HBase, Doris, and ClickHouse.
Strong problem-solving and troubleshooting skills, with the ability to translate business requirements into data processing solutions and collaborate effectively across teams.
Able to use Chinese and English as dailying working language to work with chinese-speaking stakeholders
