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!
The Role:
Dun & Bradstreet is looking for a Senior Data Engineer - GCP Platform to join our Technology team.
Senior Data Engineer - GCP Platform will be part of a group responsible for designing, implementing, maintaining and supporting Data & Analytics Platform applications.
The Senior Data Engineer - GCP Platform will leverage modern processes and tools in ensuring highest quality data in the Dun & Bradstreet Data Supply Chains.
Key Responsibilities:
- Strong organization skills with high attention to detail
- Able to work independently with minimal supervision
- Excellent communication skills – written, verbal, presentation and interpersonal
- Willing to learn new skills and implement new technologies
- A thirst for knowledge, learning, and problem solving
- 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 in Data Analytics, SQL, Python, PySpark, Shell Script, DataBricks.
- Experience with 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 with working on projects in multiple technological and business environments simultaneously.
- 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.
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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. 
