Principal Data Engineer

Dun & Bradstreet is seeking a Principal Data Engineer to join their team. This role will collaborate with cross-functional teams to deliver innovative solutions, focusing on developing and maintaining high-quality code, designing and implementing robust data engineering solutions, and working with cloud-based technologies.

Key responsibilities include:

• Leading code development for projects
• Developing and maintaining high-quality code using Python
• Designing and implementing robust data engineering solutions
• Designing and developing efficient SQL queries
• Designing, building, and maintaining databases
• Utilizing cloud-based technologies (AWS/GCP) to build and deploy scalable applications
• Working with heavy data processing systems and databases
• Implementing and managing search technologies
• Ensuring adherence to standard application development, support, and best security practices
• Leading requirements reviews with business partners
• Presenting designs to team members and key executives

The ideal candidate will have:

• Bachelor's Degree in a technical field (preferred)
• 12+ years of experience in software development and engineering
• Proven experience in developing code with the latest Python technologies
• Extensive experience with cloud-based technologies (AWS/GCP)
• Strong data engineering skills, including ETL and data migrations
• Proficiencies in SQL and working in heavy data processing systems
• Knowledge of Big Data Technologies, Hadoop framework, EMR, R, Pyspark, and Python
• Excellent problem-solving skills and attention to detail
• Strong written and communication skills

Dun & Bradstreet offers a comprehensive benefits package, including generous paid time off, parental leave, education assistance, 401k with company matching, and health & wellness benefits. Join a team of 6,000+ global professionals dedicated to helping clients turn uncertainty into confidence, risk into opportunity, and potential into prosperity.