Patsnap is a SaaS-based innovation intelligence service provider headquartered in Singapore with 1200 employees worldwide and customers from more than 40 countries.
Patsnap helps R&D leaders maximize the value of innovation intelligence within their R&D workflow and strategic planning. As the global leaders in connected innovation intelligence, patsnap uses AI technology to comb through billions of datasets, and help innovators connect the dots. Patsnap has closed a Series E funding round of $300 million in 2021, led by Tencent and SoftBank Vision Fund II, which made Patsnap a technology unicorn.
Responsibilities:
- Data Processing: Responsible for the daily tasks of interfacing, parsing, warehousing, and backing up the company's patent data and related data, ensuring data security, stability, and availability.
- Data Requirement Analysis and Implementation: Analyze and understand new data requirements, complete the design of data processing solutions, documentation, and code implementation.
- Data Quality Management: Monitor data quality, design and implement optimization schemes for identified issues, continuously enhance data integrity and accuracy.
- Data Processing Framework Optimization: Optimize data processing frameworks and performance, improve the system's data processing efficiency, facilitate the rapid iteration of product data.
- Architecture Collaboration: Work closely with data architects to participate in architecture upgrades and updates, continuously enhancing system scalability and stability.
Qualifications:
- Education Background: Bachelor's degree or above in Computer Science, Data Engineering, Software Engineering, or related fields.
- Technical Skills:
- Proficient in Java or Python programming languages with a solid programming foundation.
- Have basic knowledge of big data processing and understand the basic concepts of data processing performance optimization.
- Familiar with Linux systems and common operations.
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