Senior Big Data Test Development Engineer

Singapore

PatSnap

Patsnap is a global patent and innovation database that provides users with a comprehensive and user-friendly platform for conducting patent searches.

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About PatSnapPatsnap empowers IP and R&D teams by providing better answers, so they can makefaster decisions with more confidence. Founded in 2007, Patsnap is the global leaderin AI-powered IP and R&D intelligence. Our domain-specific LLM, trained on ourextensive proprietary innovation data, coupled with Hiro, our AI assistant, deliversactionable insights that increase productivity for IP tasks by 75% and reduce R&Dwastage by 25%. IP and R&D teams collaborate better with a user-friendly platformacross the entire innovation lifecycle. Over 15,000 companies trust Patsnap toinnovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, andWilson Sonsini.
About the RoleWe are looking for a Big Data Test Engineer to ensure the quality and reliability of ourdata platforms. The successful candidate will be responsible for ensuring the qualityand reliability of our big data solutions through rigorous testing and validationprocesses, working with technologies like Hadoop and Spark while collaborating withour data engineering team. If you are passionate about automation testing, and bigdata testing platform development and are eager to grow your technical skills, thisopportunity is for you.

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.

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.

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.
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.
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Tags: AWS Azure Big Data CI/CD Computer Science Data pipelines Data quality Data Warehousing Engineering ETL GCP Git Hadoop HBase Java LLMs Pipelines Python R R&D Spark SQL Testing

Perks/benefits: Career development Team events

Region: Asia/Pacific
Country: Singapore

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