Data Processing : Manage daily operations of patent data and related data, including integration, parsing, storage, and backup, ensuring data security, stability, and availability.
Data Requirement Analysis and Implementation : Analyze and understand new data requirements, design data processing solutions, write relevant documentation, and implement code.
Data Quality Management : Monitor data quality, design and implement targeted optimization solutions, and continuously improve data integrity and accuracy.
Data Processing Framework Optimization : Optimize data processing frameworks and performance, enhancing the efficiency of system data handling to support rapid iteration of product data.
Architecture Collaboration : Work closely with data architects, participate in architecture upgrades and updates, and enhance system scalability and stability.
Qualifications
Educational Background : Bachelor's degree or above in computer science, data engineering, software engineering, or related fields; at least 3 years of experience in data development.
Technical Skills : Proficiency in Java or Python with a solid programming foundation; Familiarity with basic components of big data processing, such as Flink and Spark, with experience in performance optimization preferred; Familiarity with Linux systems and common operations.
Ability Requirements : Strong sense of responsibility and proactive learning ability, able to adapt flexibly in a fast-paced environment; Clear thinking with excellent communication skills and team spirit, able to collaborate effectively with team members from diverse cultural backgrounds; Basic understanding of data privacy and compliance, capable of working in a regulatory environment.