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Senior QA Engineer

Austin, TX, United States

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!

We are looking for a Senior Software (Data) Engineer to join our Technology team.

The Senior Software (Data) Engineer will be part of a group responsible for designing, implementing, maintaining and supporting Data & Analytics Platform applications.

The Senior Software (Data) Engineer will leverage modern processes and tools in ensuring highest quality data in the Dun & Bradstreet Data Supply Chains. Key Responsibilities: Develop Data pipelines/Ingestion/Engineering and Analytic Application processes to business specification and technology standards that leverage/extend existing Data & Analytics platforms using a variety of Tech stack including (but not limited to) AWS, Google Cloud Platform, Informatica, Streamsets and Acceldata.

Collaborate with project teams (solution architects, business, QA and project management) to ensure solutions meet business objectives and fall within timelines and acceptance criteria

Participate in testing of prototypes & validate test procedures to ensure that they are applicable to the design

Application support/ bug fixes / QA

Perform root-cause analysis (RCA) of complex issues ranging from hardware, operating system, application, network, and information security platforms while working closely with various infrastructure teams and business users to quickly arrive at creative, tactical and long-term solutions. ​

Key Requirements: Bachelor’s degree in computer science, information systems, or other related field or equivalent work experience

5+ years of high-tech industry and/or IT work experience in Big Data project hands on development and solution engineering roles

Experience with AWS ecosystem (EMR, EC2, S3) and Google Cloud Platforms (and capabilities) is required

Experience with Informatica, Streamsets and Acceldata a strong plus.

Experience in Informatica BDM, AXON & Analyst, Power BI

Experience in Data Analytics, SQL, Python, PySpark, Shell Script

Experience with working on projects in multiple technological and business environments simultaneously

A thirst for knowledge, learning, and problem solving

Understanding of micro-services, web-based applications and REST APIs

Benefits We Offer · Generous paid time off in your first year, increasing with tenure. · Up to 16 weeks 100% paid parental leave after one year of employment. · Paid sick time to care for yourself or family members.  · Education assistance and extensive training resources. · Do Good Program: Paid volunteer days & donation matching.   · Competitive 401k & Employee Stock Purchase Plan with company matching.  · Health & wellness benefits, including discounted Gympass membership rates. · Medical, dental & vision insurance for you, spouse/partner & dependents. · Learn more about our benefits: http://bit.ly/41Yyc3d.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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.

Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.  View the EEO is the Law poster  here  and its supplement  here.  View the pay transparency policy  here .

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