Data Engineer I - (R-13551)

Why We Work at Dun & BradstreetDun & 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!
Key Responsibilities: • Responsible for real-time aggregation of large amounts of data from various sources that includes streaming and batch data into a data lake.• Define data integration flows (ETL, ELT, stream processing, events/event processors, etc.)• Work alongside development team to build data management platforms• Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets• Collaborate with solution architects, business, QA and projects manages • Data pipelines/Data Ingestion/ Data Engineering• API Development including POC’s• Data Analysis • Application support/ bug fixes / QA  Key Requirements: • Bachelor’s degree in computer science, information systems, or other related field or equivalent work experience.• 5-7 years of high-tech industry and/or IT work experience in Big Data project hands on development and solution engineering roles• Experience with data bases, including relational and non-relational.• Strong experience with scripting / programming languages such as: JavaScript, Java/Scala, .NET, PHP, Python and Node.JS).• Good to have DevOps experience with CI/CD pipelines, Configuration Management tools, Scripting• Must have exposure to search tools implementations(Elastic Search stack or similar)• Nice to have Cloudera, Hadoop development and admin experience• Good understanding of Windows, Unix/Linux operating systems and networking.• Collaborate with developers and operations teams to build and deploy custom solutions in AWS.• Good understanding of micro-services, web-based applications and REST APIs.• Prior experience managing production cloud infrastructure at scale (AWS)• Strong organization skills with high attention to detail.• Able to work independently with minimal supervision.• Excellent communication skills – written, verbal, presentation and interpersonal.• Willing to learn new skills and implement new technologies.• Must have the ability to be on call.Global Recruitment Privacy Notice