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.
About the Role
We are looking for a Big Data Test Engineer to ensure the quality and reliability of our data platforms. The successful candidate will be responsible for ensuring the quality and reliability of our big data solutions through rigorous testing and validation processes, working with technologies like Hadoop and Spark while collaborating with our data engineering team. If you are passionate about automation testing, and big data testing platform development and are eager to grow your technical skills, this opportunity is for you.
Desired Qualifications
- 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.
Key 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.
Why Join Us
- Work with cutting-edge big data technologies and tools.
- Collaborative and innovative work environment.
- Professional growth and learning opportunities.
- Regular team events and knowledge sharing sessions.
Responsibilities
Key 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.
Requirements
Desired Qualifications
- 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.
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