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.
As a Senior QA Engineer with Dun & Bradstreet, you will be responsible for ETL testing and ensuring data accuracy, completeness and integrity. You’ll be working in a stimulating, collaborative environment focused on continuous improvement within an agile development process.
We’re looking for someone who can easily adapt to complex requirements from developers, analysts and business stakeholders. You’re able to prioritize well, communicate clearly and bring an analytic approach to producing innovative solutions. You believe that true success comes through collaboration and working with the team to allow them to succeed.
If you’re passionate about software, excited by the possibilities of technology to transform industries and get involved in new technologies and inspired by the power of data to drive insight and smarter decision-making, we want to talk to you!
Primary Responsibilities
- Design and implement thorough ETL testing solutions
- Implement tests that are logical, extensible and easy to maintain
- Create test scripts that cover UI, Functional, Regression and E2E requirements
- Lead and mentor the team on test best practices and test solutions
- Make informed decisions quickly and take ownership of quality related situations and solutions
- Work closely with other teams across a wide breadth of applications and solutions
Required Experience
- Bachelor’s degree or master’s degree in computer science or software engineering
- 7 years of experience testing commercial software in an agile environment
- Ability to write and understand SQL queries in databases such as Oracle and MS-SQL
- Experience in testing; data validation scenarios, data ingestion, data pipelines, and data transformation processes (ETL)
- Clear understanding of big data engineering tools and how they can be used strategically (e.g. Spark, Hive, Hadoop,).
- Experience maintaining and running automation frameworks that cover Functional Testing, Database Testing, BDD
- Good exposure to AWS / GCP
- Problem solver who looks forward to the challenge of solving difficult challenges and learning new technologies and continuously growing
- Detail-oriented individual with the ability to rapidly learn and take advantage of new concepts, business models, and technologies
Nice to have:
- Cucumber (BDD)
- API testing tools (e.g. JMeter, REST-Assured)
- Performance and Load testing
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's
Privacy Notice and
Cookie Policy, which governs the processing of visitor data on this platform.
