Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree or above in computer science, data engineering, software engineering, or a related field, and at least 3 years of experience in data development. Proficiency in Java or Python with a solid programming foundation is required, along with familiarity with big data processing components like Flink and Spark, with performance optimization experience being preferred. A basic understanding of data privacy and compliance, and the ability to work in a regulatory environment, are also necessary.
The Senior Data Engineer will manage daily operations of patent data and related data, including integration, parsing, storage, and backup, ensuring data security, stability, and availability. They will analyze and understand new data requirements, design data processing solutions, write relevant documentation, and implement code. Furthermore, they will monitor data quality, design and implement targeted optimization solutions, and continuously improve data integrity and accuracy. The role involves optimizing data processing frameworks and performance, enhancing system data handling for rapid product iteration, and collaborating closely with data architects to participate in architecture upgrades and updates, ensuring system scalability and stability.
Intellectual property and innovation intelligence platform
PatSnap offers a platform that helps businesses, inventors, and researchers understand patents and innovation. Its main product aggregates and analyzes data from patents, scientific literature, and market reports, enabling clients to make informed decisions about their R&D investments. PatSnap operates on a subscription model, providing various service tiers and educational courses to empower clients in leveraging their innovation data. The company's goal is to help clients drive business growth and maintain a competitive edge through effective use of intellectual property.