Senior / Data Engineer

Patsnap; Singapore; On-site; SGD 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a skilled Data Engineer to enhance data processing and quality management. In this role, you will manage patent data operations, optimize frameworks, and collaborate with architects to ensure system stability. With a focus on AI-powered solutions, this position offers the chance to work with cutting-edge technology and contribute to significant efficiency improvements in data handling. If you're passionate about data and thrive in a fast-paced environment, this opportunity is perfect for you to make a meaningful impact in the field of IP and R&D intelligence.

Qualifications

• Bachelor's degree or above in relevant fields with 3+ years of experience.
• Proficiency in Java or Python, familiar with big data processing components.

Responsibilities

• Manage daily operations of patent data, ensuring security and availability.
• Analyze new data requirements and design processing solutions.

Skills

Java

Python

Data Processing

Data Quality Management

Communication Skills

Problem Solving

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Engineering

Bachelor’s degree in Software Engineering

Tools

Flink

Spark

Linux

Job description

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.

Key Responsibilities

• Data Processing: Manage daily operations of patent data and related data, including integration, parsing, storage, and backup, ensuring data security, stability, and availability.

• Data Requirement Analysis and Implementation: Analyze and understand new data requirements, design data processing solutions, write relevant documentation, and implement code.

• Data Quality Management: Monitor data quality, design and implement targeted optimization solutions, and continuously improve data integrity and accuracy.

• Data Processing Framework Optimization: Optimize data processing frameworks and performance, enhancing the efficiency of system data handling to support rapid iteration of product data.

• Architecture Collaboration: Work closely with data architects, participate in architecture upgrades and updates, and enhance system scalability and stability.

Qualifications

• Educational Background: Bachelor’s degree or above in computer science, data engineering, software engineering, or related fields; at least 3 years of experience in data development.
• Technical Skills: 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.
• Ability Requirements: 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.