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.

• 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.

• 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 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.

Why Join Us

Technical Growth: Directly participate in large-scale data processing and optimization projects, gaining practical technical experience.

Systematic Training: Engage in architecture optimization under the guidance of senior data architects, enhancing data processing and system design capabilities.

Diverse Team: Rich opportunities for cross-departmental and multinational collaboration, helping you rapidly grow into a full-stack data engineer.

Career Development: Clear career development paths and ample space for growth.