Software Engineer II (R-17970)

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Dublin
Hybrid
Artificial Intelligence • Big Data • Fintech • Machine Learning • Software • Generative AI • Big Data Analytics
Leading global provider of business decisioning data and analytics, enabling companies to improve business performance.
The Role
Why We Work at Dun & Bradstreet
Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share a common curiosity: to find new ways to turn data into value. If you share this curiosity and want to be part of a future-ready company, come join us! Learn more at dnb.com/careers.

As a Software Engineer II with Dun & Bradstreet, you will be responsible for developing cutting-edge data processing capabilities within our Direct Plus Batch team. The Batch platform provides high-volume file-based batch processing for customers.

The system allows customers to submit input files and define what type of processing should be performed such as DUNS matching and data enrichment.  Files can be submitted and delivered using various formats and configurations.  Using the latest cloud services and big data technologies we are looking to grow, stabilize and improve the performance of this platform.

As part of the Direct+ Batch team, you’ll:

  • Develop and drive delivery of platform capabilities to meet business requirements
  • Validate solutions using proof of concepts and prototypes
  • Write simple code (low maintenance, extensibility, test-ability and performance)
  • Collaborate with the team to take advantage of new concepts/technologies

About you:

  • You’ll have a Bachelor's degree in computer science or related field
  • You’ll have 5+ years of experience developing commercial software
  • You’ll have proven experience delivering solutions on AWS or Google Cloud utilizing a broad set of the services available
  • You are self-led with an ability to work in a collaborative team environment
  • You have strong coding experience with Python 3
  • You have strong coding experience with Java (Scala desirable)
  • You have an understanding of object-oriented design and programming methodologies
  • You have strong problem solving and root cause analysis skills

Nice to have:

  • Proven experience working on large-scale, distributed systems using frameworks (Spark/PySpark and/or EMR desirable)
  • Strong knowledge of microservice development in large scale, high-transaction and high-availability secure environments
  • Practical experience in automated unit testing frameworks, continuous integration, performance tuning/testing and application monitoring
  • A knowledge of best practices and new emerging technologies

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. 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.

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The Company
HQ: Jacksonville, FL
6,317 Employees
Year Founded: 1841

What We Do

Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses.

Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.

Why Work With Us

We are at a transformational moment in our company journey, and we’re excited about it. Each day, we are taking steps to transform our culture into one that activates our people’s best work, exploring what needs to change to accelerate creativity and innovation, and challenging ourselves to think differently about how we interact.

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