Data Engineer I (R-20055)

About the job

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

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