Dun & Bradstreet
business decisioning data and analytics
DataEngineerII
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer II at Dun & Bradstreet. Skills: Data Quality Rules, ETL processes, Python, SQL. Database administration. Develop coding standards”
What You'll Achieve.
Setting global standards; Implementing, monitoring, and controlling Data Quality Rules; Driving best-in-class standards; Continuous improvement initiatives; Increase derived insight into disparate data sources; Driving success
Industry & Context.
Be a problem solver; Be curious; Be proactive
What They're Looking For.
Must Have
AWS/GCP certification (including cloud environment administration) required, SQL Server administration (tuning, database design and optimization), knowledge of Python and SQL required, Understanding of security and version controls, Proficiency in Microsoft Office Suite
Nice to Have
Knowledge of latest solutions in the market is a plus, Knowledge of Data Operations methodology and data management approaches is preferred, Knowledge of Jira, AI, Graph database is preferred, Experience with CoPilot Agent Studio a plus
What You'll Do.
Database administration
Develop coding standards
Implement data maintenance processes
Evaluate technology solutions
End-to-end process ownership
Communicate with stakeholders
Conduct knowledge exchange sessions
Automate manual processes
Build analytical processes
Provide insight into data quality issues
Implement data improvement solutions
Build processes to fetch data
Research data mastering techniques
Support data engineers
Develop data documentation
How You'll Work.
Team & Collaboration
Collaborating with key stakeholders; Continuous growth mindset; Social experiences and relationships with stakeholders, experts, colleagues and mentors; Seek ways to collaborate and connect with people and teams
Communication Scope
Communicate with stakeholders; Knowledge exchange sessions with technical and non-technical audiences; Fluency in English
Process & Methodology
Managing project plans
Full Job Description
## 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. 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. The Data Engineer II works as part of an agile team, setting global standards and best practices while collaborating with key stakeholders to implement, monitor, and control Data Quality Rules on our data. This role drives best-in-class standards and continuous improvement initiatives across a wide range of teams and disciplines. ## Key Responsibilities Database administration, including performance tuning, and implementing best practices. Develop and mentor coding standards. Implement new data maintenance processes. Evaluate and implement recent technology solutions. End-to-end process ownership. Communicate with stakeholders. Conduct knowledge exchange sessions with technical and non-technical audiences. Automate manual processes and develop data tools. Build new analytical processes, provide insight into data quality issues and implementation of data improvement solutions. Build processes to fetch data from open data sources, e.g. websites. Research and implement modern data mastering techniques to increase derived insight into disparate data sources. Support other data engineers with design of ETL processes, code reviews, and knowledge sharing. Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage. ## Key Skills Strong knowledge of data transformation processes, exposure to standard and complex datatypes. Knowledge of latest solutions in the market is a plus. Knowledge of Data Opera
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