Senior Big Data Test Development Engineer

Posted 2 Days Ago
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Singapore
Junior
Artificial Intelligence • Software
The Role
The Senior Big Data Test Development Engineer is responsible for ensuring the quality and reliability of big data solutions through rigorous testing. This role involves developing testing frameworks, validating data quality, monitoring data pipelines, and analyzing test results. Collaboration with data engineers is crucial for improving data quality and efficiency in testing processes.
Summary Generated by Built In

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.

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.

Top Skills

Java
Python
The Company
500 Employees
On-site Workplace
Year Founded: 2007

What We Do

Founded in 2007, Patsnap is the company behind the world’s leading innovation intelligence platform. Patsnap is used by more than 10,000 customers in over 50 countries around the world to access market, technology, and competitive intelligence as well as patent insights needed to take products from ideation to commercialization. Customers are innovators across multiple industry sectors, including agriculture and chemicals, consumer goods, food and beverage, life sciences, automotive, oil and gas, professional services, aviation and aerospace, and education. To learn more about how Patsnap is improving the way companies innovate, visit www.patsnap.com.

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