Big Data Test Engineer at PatSnap

Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field
2+ years of experience in software testing
Proficiency in programming languages such as Python or Java
Experience with SQL and data querying for data validation
Familiarity with test automation tools and frameworks
Knowledge of version control systems (e.g., Git) and experience with CI/CD tools
Strong communication and interpersonal skills
Ability to work independently and collaboratively in a team environment
Attention to detail and a commitment to quality
Preferred Skills
Experience with big data platforms (Hadoop, Spark, Hive, HBase)
Knowledge of ETL processes and data warehousing concepts
Experience with performance testing tools (JMeter)
AWS/Azure/GCP cloud platform experience
ISTQB certification or equivalent

Responsibilities

Responsible for testing and quality assurance of big data and data-related products
Participate in the development of big data testing frameworks or testing tools, and contribute to the construction of continuous integration platforms and automation development
Validate data quality, consistency, and accuracy across data pipelines
Analyze test results and provide detailed reports on software quality and test coverage
Monitor and validate data workflows and pipelines
Continuously improve testing processes and methodologies to enhance efficiency and effectiveness
Ensure data integrity and accuracy across various data sources and platforms
Work closely with data engineers to improve data quality

Skills

Hadoop

Spark

Automation Testing

Big Data Testing

Data Pipelines

Continuous Integration

Data Quality Validation

Testing Frameworks

PatSnap

Intellectual property and innovation intelligence platform

About PatSnap

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.

Singapore, SingaporeHeadquarters

2007Year Founded

$342MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Consulting, EducationIndustries

501-1,000Employees

Benefits

Paid Vacation

Unlimited Paid Time Off

Mental Health Support

Parental Leave

Life Insurance

Private Healthcare

Private Pension

RRSP Contribution Matching

Eyecare Voucher Scheme

WFH Stipend

Cycle To Work scheme

Company Equity

Paid Volunteering Days

Risks

UK lawtech startups' growth could threaten PatSnap's market share by 2026.

Cultural resistance to legal tech may limit PatSnap's effectiveness in some companies.

Expansion in Japan may face challenges due to current minimal revenue share.

Differentiation

PatSnap integrates generative AI into R&D, enhancing drug discovery timelines.

The platform aggregates data from patents, literature, and market reports for comprehensive insights.

PatSnap's subscription model ensures steady revenue and continuous platform enhancement.

Upsides

Expansion in Japan aims to boost revenue contribution to 10% from a minimal share.

Collaboration with BizInt Smart Charts enhances data integration and patent intelligence access.

CoPilot AI assistant improves IP and R&D workflows, increasing user efficiency.

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