Data Engineer II at Dun & Bradstreet

📋 Description

• Database administration, including performance tuning and best practices.
• End-to-end process ownership.
• Build analytical processes; address data quality issues.
• Build processes to fetch data from open data sources (web).
• Research data mastering techniques to unify disparate sources.
• Support data engineers with ETL design, reviews, and knowledge sharing.

🎯 Requirements

• AWS/GCP certification and cloud environment admin.
• SQL Server administration: tuning, design, optimization.
• Python and SQL required.
• SSIS, C#, Python, Git/Bitbucket, APIs, NoSQL experience.
• Knowledge of Jira, AI, Graph databases preferred.
• Machine Learning and Power BI experience.
• Security and version control practices.