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 15000 companies trust Patsnap to innovate faster with AI including NASA Tesla PayPal Sanofi Dow Chemical and Wilson Sonsini.
Key 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.
Desired Qualifications
Bachelors 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.
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