Oracle
Software Engineer 3 – Senior Member Technical Staff
Oracle, Pleasanton, California, United States, 94566
Software Engineer 3 – Senior Member Technical Staff
This position is onsite/hybrid in our Pleasanton, CA office - remote option is not available for this role. Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product visit https://docs.oracle.com/en/cloud/saas/analytics/25r1/index.html We are looking for a passionate and skilled Data Engineer to join the FDI team. In this role, you’ll build and operate massive-scale, integrated cloud services that power our next-gen analytics platform. What You’ll Do?
Design, develop, and maintain scalable, resilient, and highly available data systems. Build large-scale distributed data pipelines that power automated data ingestion, transformation, and warehousing. Collaborate with cross-functional teams including product managers, architects, and QA to deliver high-impact features. Drive innovation in data engineering best practices, architecture, and tooling within a cloud-native environment. Ensure system security, performance, and reliability in a multi-tenant SaaS setup. Responsibilities and Qualifications :
BS or higher degree in Computer Science, Computer Engineering or equivalent with 5+ years of applied experience Strong programming skills in Scala, Java, and Python Experience in implementing scalable data pipelines using Spark for both batch and real-time processing Developed and maintained data transformation logic using functional programming paradigms in Scala/Python Strong foundational knowledge of data structures, algorithms, and computer science fundamentals Should be able to write SQL queries and have experience working with database through Java/Scala Be a champion for CI/CD and development best practices, especially around automation and testing Experience with agile software development Experience building high-performance, resilient, scalable and well-engineered systems A creative and growth mindset and willingness to solve challenging problems and learn new skills on the job Good communication skills, with ability to clearly articulate engineering designs Prior experience with Oracle Cloud, or Oracle Analytics is a big plus Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
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This position is onsite/hybrid in our Pleasanton, CA office - remote option is not available for this role. Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product visit https://docs.oracle.com/en/cloud/saas/analytics/25r1/index.html We are looking for a passionate and skilled Data Engineer to join the FDI team. In this role, you’ll build and operate massive-scale, integrated cloud services that power our next-gen analytics platform. What You’ll Do?
Design, develop, and maintain scalable, resilient, and highly available data systems. Build large-scale distributed data pipelines that power automated data ingestion, transformation, and warehousing. Collaborate with cross-functional teams including product managers, architects, and QA to deliver high-impact features. Drive innovation in data engineering best practices, architecture, and tooling within a cloud-native environment. Ensure system security, performance, and reliability in a multi-tenant SaaS setup. Responsibilities and Qualifications :
BS or higher degree in Computer Science, Computer Engineering or equivalent with 5+ years of applied experience Strong programming skills in Scala, Java, and Python Experience in implementing scalable data pipelines using Spark for both batch and real-time processing Developed and maintained data transformation logic using functional programming paradigms in Scala/Python Strong foundational knowledge of data structures, algorithms, and computer science fundamentals Should be able to write SQL queries and have experience working with database through Java/Scala Be a champion for CI/CD and development best practices, especially around automation and testing Experience with agile software development Experience building high-performance, resilient, scalable and well-engineered systems A creative and growth mindset and willingness to solve challenging problems and learn new skills on the job Good communication skills, with ability to clearly articulate engineering designs Prior experience with Oracle Cloud, or Oracle Analytics is a big plus Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
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