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.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.