Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Data Engineer responsible for developing applications and optimizing data processes at Dun & Bradstreet. Collaborating with senior engineers for performance improvements.
Responsibilities
- 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.
Requirements
- 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).
- Ability to work independently and deliver critical projects on time.
- Strong problem-solving and analytical skills.
- Excellent communication skills and ability to work closely with others in a team environment.
Job title
Job type
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Not specified
Degree requirement
Tech skills
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