Senior Big Data Engineer (R-19335)

Requirements

• Minimum 8 years of experience in ETL/ELT technologies
• 4+ years of hands-on experience with big data technologies such as Databricks and Apache Spark
• Minimum 6 years of experience working with cloud platforms, preferably GCP
• Strong programming expertise in Python
• Experience with relational databases and complex SQL development
• Exposure to NoSQL and graph databases is a plus
• Experience with access control mechanisms such as role-based and attribute-based access
• Familiarity with BI tools such as Tableau, Power BI, or Looker
• Hands-on experience managing and deploying cloud-based solutions
• Experience working in a global environment and DevOps model is an advantage

Additional Information

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. All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

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