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. The Full Stack Data Engineer is responsible for designing, developing, supporting, and enhancing Trade Operations applications, data pipelines, and cloud-based services that power the end-to-end Trade data lifecycle. This role combines software engineering, data engineering, cloud technologies, and operational support to ensure Trade data is processed accurately, securely, and efficiently from ingestion through product delivery. The engineer will partner closely with Trade Operations Analysts and Technology teams to build scalable solutions, automate manual processes, improve data quality, modernize legacy platforms, and support strategic initiatives such as market onboarding, cloud migration, and AI-driven process improvements.
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Role overview
Job description
- Partner with development and product teams to ensure product quality in a fast-paced Agile environment
- Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes
- Write and maintain automated tests for data-validation workflows
- Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle
- Perform manual functional, regression, integration, and exploratory testing when automation is not suitable
- Validate multi-tiered, data-driven applications processing large volumes of records
- Define and track quality metrics including defect counts, severity, test execution, coverage and release status
- Identify, document, report, track and verify issues through to resolution
- Perform root-cause analysis and collaborate on preventive quality improvements
- Support product deployments, release validation and QA sign-off
- Partner with support teams to reproduce and troubleshoot customer-reported issues
- Proactively improve quality through collaboration, automation, process improvement and innovative thinking
- Stay current with emerging AI technologies, tools, and best practices
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What they are looking for
Skills & requirements
Department · Technology

Hiring company
Dun & Bradstreet India
Verified business data and persistent identity help you reduce risk, improve decisions, and drive growth across your organization.
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