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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.
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:
Experience with the following skillsets would be a plus:
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