Patsnap Logo

Patsnap

Senior / Data Engineer

Reposted 24 Days Ago
Be an Early Applicant
In-Office
Singapore
Mid level
In-Office
Singapore
Mid level
Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate on architecture upgrades.
The summary above was generated by AI
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.

Top Skills

Flink
Java
Linux
Python
Spark
HQ

Patsnap Singapore Office

47 Scotts Road - Goldbell Towers, #11-03, Singapore, 228233

Similar Jobs

15 Hours Ago
In-Office
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
The Senior Data Platform Engineer will design, build and maintain data pipelines, optimize data processing, and collaborate on data handling solutions within the Growth Team.
Top Skills: BigQueryDbtFlinkHadoopJavaKafkaKotlinPythonScalaSnowflakeSparkSpring BootSQL
3 Days Ago
In-Office
Singapore, SGP
Mid level
Mid level
Gaming • Hardware
The Senior Data Engineer will design and implement data architectures for AI/ML applications, lead data initiatives, and optimize data pipelines for efficiency and reliability.
Top Skills: AirflowAWSAzureDaskData Build ToolData LakeDockerGoogle Cloud PlatformKubernetesLake HouseNeo4JNoSQLPrefectPythonSparkSQLTerraform
3 Days Ago
In-Office
Singapore, SGP
Mid level
Mid level
Gaming • Hardware
Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.
Top Skills: AirflowAWSAzureDaskDbtDockerGoogle Cloud PlatformKubernetesNeo4JPrefectPythonSparkSQLTerraform

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account