Shape the Future with Dun & Bradstreet

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.

Key Responsibilities:
Application Development
Develop and maintain REST APIs and backend services to support business workflows.
Build and manage data ingestion, transformation, and automation processes to improve operational efficiency.
Develop monitoring and alerting solutions for critical data processing and operational workflows.
Provide technical support to global Trade Operations teams and ensure SLA adherence.
Identify opportunities to improve performance, automate manual processes, enhance data quality, and reduce operational risk.
Maintain technical documentation and contribute to continuous improvement of systems and processes.

Key Skills:




At least 6 years data engineering/software engineering experience
Degree in computer science or related field
Proficiency in SQL and at least skilled at one of the programming langauges in PHP/Python/Java
Experience with web development
Work closely with related groups to ensure business continuity
A self-motivated learner with solid customer focus and with quality
Logical with very solid problem solving skills
Solid understanding of data modeling, data warehousing, and database design
Experience with cloud service providers AWS/Azure/GCP.
Analytical skills and able to perform analysis on code bases to increase performance.
Strong team player with excellent listening and communication skills
Fluent English written and verbal
Results oriented, flexible with an enthusiastic approach
Ability to respond quickly to customer demands and market condition.

📌 Full Stack Data Engineer Hyderabad (India)
🏢 Dun & Bradstreet
📍 India