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Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
We are seeking a skilled and detail-oriented QA Automation Tester with a strong background in Big Data testing to join our engineering team. The ideal candidate will have hands-on experience in test automation, data validation, and CI/CD pipelines, with a solid understanding of cloud platforms like AWS or GCP.
Key Responsibilities:
- Design, develop, and maintain automated test scripts using Python or Java.
- Perform data validation and verification across large-scale datasets and pipelines.
- Create comprehensive test cases, test plans, and test data for various data scenarios.
- Integrate automated tests into CI/CD pipelines using tools like GitHub Actions, Jenkins, or similar.
- Collaborate with data engineers and developers to ensure data quality and integrity.
- Work with cloud-based environments (AWS/GCP) to validate data workflows and storage.
- Identify, document, and track bugs and issues to resolution.
Key Skills:
- 8+ years of experience in QA Automation, preferably in Big Data environments.
- Proficiency in Python or Java for test automation.
- Experience with data automation frameworks and tools.
- Strong understanding of CI/CD tools (e.g., Jenkins, GitHub Actions).
- Hands-on experience with cloud platforms (AWS or GCP).
- Expertise in test case creation and test data preparation.
- Familiarity with tools like Postman, PyTest, TestNG, or similar.
- Excellent analytical and problem-solving skills.
- Experience with Apache Spark, Kafka, or other big data technologies.
- Knowledge of SQL and NoSQL databases.
- Exposure to containerization (Docker, Kubernetes) is a plus.
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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