Senior / Data Engineer
Summary
Builds and maintains patent/IP data pipelines, optimizing big-data processing (Spark/Flink) to fuel AI-driven innovation tools for R&D teams, ensuring scalability, performance, and compliance with regulatory standards.
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.
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.