Senior Database Engineer

PayPalSan Jose, CA
1d

About The Position

-7+ years of enterprise-grade database technologies and large-scale data platforms -Proven experience designing mission-critical data infrastructure at petabyte scale -Deep expertise in GCP cloud-native DBs like BigTable and Spanner, Cloud networking, and architecture -Advanced proficiency in automation and scripting languages (Python, Bash) -Demonstrated leadership in cross-functional collaboration and high-impact delivery -Experience with generative AI tools for database optimization preferred Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. 7+ years of enterprise-grade database technologies and large-scale data platforms Proven experience designing mission-critical data infrastructure at petabyte scale Deep expertise in GCP cloud-native DBs like BigTable and Spanner, Cloud networking, and architecture Deep expertise in managing Oracle databases Advanced proficiency in automation and scripting languages (Python, Bash) Demonstrated leadership in cross-functional collaboration and high-impact delivery Experience with generative AI tools for database optimization preferred

Requirements

  • 7+ years of enterprise-grade database technologies and large-scale data platforms
  • Proven experience designing mission-critical data infrastructure at petabyte scale
  • Deep expertise in GCP cloud-native DBs like BigTable and Spanner, Cloud networking, and architecture
  • Advanced proficiency in automation and scripting languages (Python, Bash)
  • Demonstrated leadership in cross-functional collaboration and high-impact delivery
  • Minimum of 5 years of relevant work experience
  • Bachelor's degree or equivalent experience
  • Deep expertise in managing Oracle databases

Nice To Haves

  • Experience with generative AI tools for database optimization preferred

Responsibilities

  • Manage and optimize Big Data and cloud technologies to ensure reliable and efficient operations.
  • Design, implement, and oversee scalable compute infrastructure tailored to support data scientists' needs.
  • Create insightful reports leveraging tools such as Tableau, MicroStrategy, ThoughtSpot, Qlik, Looker, and others.
  • Optimize system performance through tuning and proactive efficiency improvements.
  • Collaborate with business users to address queries, resolve issues, and provide technical guidance.
  • Lead efforts in data migration, system upgrades, and maintenance of databases and associated tools.
  • Develop and maintain automation scripts for platform administration and monitoring tasks.
  • Deliver database engineering, infrastructure builds, and release management services with a focus on quality and reliability.
  • Partner with cross-functional operations teams to handle incidents, perform root cause analysis, and resolve problems effectively.
  • Take ownership of implementing modules, applications, or products from concept to deployment.
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