About this role
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
Key Responsibilities:
- Design, develop, test, and maintain Java-based enterprise applications using Spring Boot, REST APIs, and microservices.
- Develop and support cloud-enabled applications on AWS and Google Cloud Platform.
- Build and maintain integrations using Web Services, Oracle Service Bus, XML, XSL/XSLT, and FTL.
- Work with Oracle, MySQL, and Microsoft SQL Server for application development, query optimization, and performance tuning.
- Support CI/CD pipelines, automation scripts, deployments, troubleshooting, and production issue resolution.
- Collaborate with product, QA, DevOps, architecture, and business stakeholders in an Agile delivery environment.
- Demonstrate the ability to work on multiple applications and priorities in parallel, while maintaining delivery quality, responsiveness, and clear communication.
- Use AI-assisted tools such as GitHub Copilot, Microsoft Copilot, Claude, and Gemini Code Assist to improve productivity, quality, testing, and documentation.
Key Skills:
- Backend Engineering: Java 1.8+, J2EE, Spring Framework, Spring Boot, REST APIs, and microservices.
- Cloud and DevOps: AWS, Jenkins CI/CD pipelines, and cloud-based application support (GCP good to have).
- Database: Oracle, MySQL, Microsoft SQL Server, SQL development, query optimization, and performance tuning.
- Integration: Web Services, Oracle Service Bus(good to have), XML, XSL/XSLT, FTL, JBoss, and Apache Tomcat.
- Tools: Shell Scripting, Jira, Confluence, Agile delivery, and technical documentation.
- AI-Assisted Engineering: GitHub Copilot, Microsoft Copilot, Claude, Gemini Code Assist, or similar tools.
- Preferred Exposure: Terraform, Angular, Python, Hadoop, or Scala.
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.
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