Overview
Shape the Future with Dun & Bradstreet
Full job description
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.
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.
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.
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