Software Developer 5 at Oracle Risk Management Services

, , India -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Products, Cloud Services, ETL, Data Transformations, Data Governance, Cloud-Native Service, Data Platform, AI, Software Engineering

Industry

IT Services and IT Consulting

Description

At Oracle Analytics Cloud (OAC), we build data products for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. The Oracle Analytics Cloud (OAC) team can provide you the opportunity to build and operate a suite of massively scalable, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OAC is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges. Values are OAC’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. The Data service is a ground-zero cloud service that aims to provide a unified solution that enables different personas in an enterprise to ingest and perform data transformations with ETL capabilities, govern various data artifacts including the models with compute at scale. This enables the enterprise customers to operate with a single pane of glass and to solve complex business problems to gain insights. This is a great opportunity to join a team that has been building a cloud-native service from scratch. We are in aggressive growth journey with a team of highly energetic, technology savvy engineers and are looking to grow further to meet the demands of building a powerful data platform. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. 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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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Responsibilities

The role involves building and operating a suite of massively scalable, integrated cloud services within the Oracle Analytics Cloud (OAC) team. This includes developing a ground-zero cloud service for data ingestion, performing data transformations with ETL capabilities, and governing data artifacts at scale.