Data Engineer I (R-19120)

Hyderabad - IndiaEmployee: Full Timemid

Data EngineerDataData & AI

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Overview

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,

Technical Tools

Data EngineerDataData & AI

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. For over 180 years, 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.

Job Summary:

We are looking for a Data Engineer to join our team and contribute to building and maintaining applications that power the Dun & Bradstreet Contact Pipeline. This role involves working closely with senior data engineers to optimize data ingestion processes, analyze performance bottlenecks, and implement improvements. You will also create metrics to monitor application performance and throughput, ensuring continuous enhancement

Develop and maintain applications using Python.

Take ownership of existing applications for further development and improvements.

Collaborate with cross-functional teams to ensure business continuity.

Analyze codebases to identify and resolve performance issues.

Perform data analysis to detect bugs and optimize processes.

Participate in code reviews and testing of team members’ contributions.

Work within agile teams, applying lean principles and SCRUM methodology.

Bachelor’s degree (preferably in Computer Science, Mathematics, Data Science, or a related field).

3–6 years of overall experience in software development and data analysis.

Hands-on experience in Python for application development.

Strong proficiency in SQL for data analysis and query generation.

Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred).