Data Engineer I (R-20055)

Dun & Bradstreet; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Dun & Bradstreet is hiring a Data Engineer to work with senior engineers on ingesting data into the Contact Pipeline and to analyze performance bottlenecks. You will create metrics to drive improvements and collaborate with multiple teams to ensure data reliability.

The role requires 2–5 years of Python development and SQL data analysis, plus experience with AWS or Azure. Strong problem solving and communication skills are essential for success in a collaborative, agile environment.

Qualifications

• Bachelor's degree in CS/Math/Data Science or related field.
• 2-5 years of Python application development.
• 2-5 years of SQL data analysis and querying.
• Experience with hosted environments and cloud providers (AWS/Azure) preferred.

Responsibilities

• Create and maintain applications in Python.
• Take ownership of existing applications for further development and improvements.
• Work closely with related groups to ensure business continuity.
• Perform analysis on code bases to increase performance.
• Perform analysis on datasets to determine process improvements & bugs.
• Code review and testing of teammates' changes.
• Collaborate in one or more agile teams using lean and SCRUM methodology.

Skills

Python

SQL

Data analysis

AWS

Azure

Communication

Problem solving

Education

Bachelor's degree in CS/Math/Data Science

Tools

AWS

Azure

Linux

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.

The Data Engineer’s role is to work with the senior data engineers to build and maintain applications that are responsible for the ingestion of data into the Dun and Bradstreet Contact Pipeline. They will work on analyzing performance/throughput blockers of the applications and will work with other team members to remove the bottlenecks in the applications. The Data Engineer will also work on creating metrics from existing applications to help determine the areas that need work in terms of performance and/or throughput.

Key Responsibilities

• Create and maintain applications in python.
• Take ownership of existing applications for further development/improvements
• Work closely with related groups to ensure business continuity
• Perform analysis on code bases to increase performance.
• Perform analysis on datasets to determine process improvements & bugs.
• Work as part of the team to code review and test other members’ code changes.
• Work as a member of one or more agile teams, using lean principles and SCRUM methodology

Key Requirements

• Bachelor’s degree (preferable in computer science, mathematics, data science, or a related field)
• Experience with Python for application development (2-5 years)
• Experience with SQL for data analysis and querying (2-5 years)
• Ability to work independently to deliver critical projects on time
• Strong problem solving and analytical skills.
• Good communication skills and ability to work closely with others in a team.
• Experience with hosted environments, AWS, Azure, or other cloud service providers preferred

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.