Senior/ Data Engineer

About PatSnap Patsnap empowers IP and R&D teams by providing better answers, so they can make faster decisions with more confidence. Founded in 2007, Patsnap is the global leader in AI-powered IP and R&D intelligence. Our domain-specific LLM, trained on our extensive proprietary innovation data, coupled with Hiro, our AI assistant, delivers actionable insights that increase productivity for IP tasks by 75% and reduce R&D wastage by 25%. IP and R&D teams collaborate better with a user-friendly platform across the entire innovation lifecycle. Over 15,000 companies trust Patsnap to innovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, and Wilson Sonsini. Responsibilities

• Manage daily operations of patent data and related data, including integration, parsing, storage, and backup, ensuring data security, stability, and availability；

• Analyze and understand new data requirements, design data processing solutions, write relevant documentation, and implement code；

• Monitor data quality, design and implement targeted optimization solutions, and continuously improve data integrity and accuracy；

• Optimize data processing frameworks and performance, enhancing the efficiency of system data handling to support rapid iteration of product data；

• Work closely with data architects, participate in architecture upgrades and updates, and enhance system scalability and stability. Qualifications

• Bachelor’s degree or above in computer science, data engineering, software engineering, or related fields; at least 3 years of experience in data development；

• 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；

• Strong sense of responsibility and proactive learning ability, able to adapt flexibly in a fast-paced environment；

• Clear thinking with great 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.