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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.
Senior Data Engineer role involves the development of new applications for major projects to drive significant revenue and cost savings for Dun and Bradstreet. Senior data engineers are expected to delve into new, cutting-edge technologies to explore new markets and opportunities. Senior data engineers are expected to react quickly to high-tech marketplace needs, rapidly developing and deploying new products in an agile work environment to best meet and exceed the expectations of our clients and potential prospects.
Key Responsibilities:
- Create applications in python with a focus on performance
- Help design and implement functional requirements
- Take ownership of existing applications for further development/improvements
- Identify areas of improvements in applications/process and research potential solutions.
- Collaborate with Product Owners and the engineering team to develop and deliver advanced software solutions to ensure business continuity
- Coordinate the delivery of assigned activities with other departments whilst providing highly responsive and comprehensive technical support as needed to the other teams & leadership
- Lead the offshore engineering team, providing technical guidance and fostering innovation.
- Mentor junior engineers – introduce and train them in best practices and work with them to make their development output more effective and performant.
- Work as part of the team to code review and test other members’ code changes.
- Create and run unit tests for the projects you work on.
- Perform analysis on large datasets to make and implement recommendations for maximizing customer experience
- Work as a member of one or more agile teams, using lean principles and SCRUM methodology
Key Requirements:
- Bachelor’s degree (preferable in computer science, mathematics, data science, or a related field)
- Experience with Python for application development (7-10 years)
- Experience with SQL for data analysis and querying (7-10 years)
- Experience with Bash (2-5 years)
- Proficiency in version control systems, particularly Git.
- Ability to work independently to deliver critical projects on time
- Ability to work closely with others to problem solve
- Experience with hosted environments, AWS, Azure, or other cloud service providers preferred
All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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