Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers.
Principal Engineer- Java and Cloud
Key Responsibilities:
Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
Work closely with DevOps team to deploy and manage data infrastructure on cloud platforms such as AWS or GCP
Provide technical direction for the team by being an expert in technology, system design and architecture
Deliver POCs (Proof of Concept) to quickly identify direction and gaps in proposed architecture and feature development
Work closely with different teams to understand and implement the requirements to design and support their workflows
Work on complex requirements, issues which requires in-depth analysis
Key Requirements:
Bachelor’s degree in computer science or related fields
12+ years of experience managing and deploying commercial software products
Experience in building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages
Proven experience building large-scale, distributed systems
Proven experience managing solutions on GCP or AWS utilizing a broad set of the services available
Proficiency in modern front-end framework such as React, Angular or Vue.js
Deep technical understanding of Java or Go and ability to work with both
Hands on experience in SQL queries would be recommended
Able to build efficient and reusable code to ensure the performance of web applications
Expert in the continuous integration and continuous delivery product space
Experience in performance engineering and optimizations
Experience with cloud-based architecture, cloud native solutions and infrastructure/management, developing and handling of distributed systems
Experience in designing and implementing data pipelines using big data tools to ingest, process and transform large volumes of data will be an added advantage
Strong communication skills (both oral and written)
Proficiency in Microsoft office suite skills
Show an ownership mindset in everything you do. Be a problem solver, curious and inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs
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