Data Engineer

1 week ago


Singapore PatSnap Full time
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%.

Key Responsibilities

  • Develop and maintain large-scale data processing systems, ensuring data security, stability, and availability;
  • Analyze 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;
  • Collaborate with data architects, participate in architecture upgrades and updates, and enhance system scalability and stability.

Desired 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 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 PatSnap

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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