GCP Data Engineer (R-12566)

Why We Work at Dun & BradstreetDun & 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!
The Role: The GCP Data Engineer will be responsible for Designing and developing solutions for D&Bs complex customer use-cases and issues as well as will work closely with other internal teams (e.g. Product, IT, Engineering). Perform root cause analysis for technically complex issues with the goal of resolving the problem to ensure that any product issues are clearly communicated and resolved in upcoming releases.

Key Responsibilities:

• Lead small, product focused and scrum team.
• Well organized, disciplined, and able to manage time and priorities effectively.
• Excellent communication skills. Shows judgement when communicating with different seniority levels, different cultural backgrounds and different stakeholders.
• Design and develop solutions to complex customer use-cases and issues.
• Serve as a technical expert on the design and architecture of new Data Supply Chain platform.
• Work closely with other internal teams (e.g. Product, IT and Engineering) to ensure that any product issues are clearly communicated and resolved in upcoming releases.
• Perform root cause analysis for technically complex issues with the goal of resolving the problem.
• Provide documentation and training on the use and support new Data Supply Chain platform to other internal teams as necessary.
• Organized and a logical problem solver. Uses data to make decisions. Provide thought leadership and logical best practices.

Key Requirements:

• 7+ years’ experience developing and maintaining applications.
• Experience leading small agile development team.
• Bachelor’s degree or equivalent experience.
• Understanding of Data Science analytics process.
• Must have strong development skills in the following areas/languages
-Python (Required) -PySpark (Required) -AWS, SNS & SQS (Required) -SQL (Required) -Cloud Computing – AWS/GCP (Required) -DataBricks (Required)
• Experience working with large datasets and manipulating schemas.
• Design and develop solutions to complex customer use-cases and issues.

Preferred Skills:

• Experience working with Kafka
• Experience working with EMR

What we offer:

• Generous paid time off, increasing with tenure.
• 100% paid parental leave after one year.
• 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 a Gympass membership.
• Medical, dental & vision insurance for you, spouse/partner & dependents.
• Learn more about our benefits: https://bit.ly/2VwyKQt !

FOR US APPLICANTS - 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.
We are committed to Equal Employment Opportunity and providing reasonable accommodations to qualified candidates and employees. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to acquisitiont@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.