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.
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What We Do
Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses.
Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.
Why Work With Us
We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.
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