Software Developer 5

Overview of Product – Oracle Analytics

Be part of an energetic and challenging team building an enterprise Analytic platform that will allow users to quickly gain insights on their most valuable asset; data.  

Oracle Analytics is an industry-leading product that empowers entire organizations with a full range of business analytics tools, enterprise ready reporting and engaging, and easy-to-use self-service data visualizations.  Our customers are business users that demand a software product that allows easy, fast navigation through the full spectrum of data scale from simple spreadsheets to analyzing enormous volumes of information in enterprise class data warehouses.

Oracle Analytics is a comprehensive solution to meet the breadth of all analytics needs. Get the right data, to the right people, at the right time with analytics for everyone in your organization. With built-in security and governance, you can easily share insights and collaborate with your colleagues. By leveraging the cloud, you can scale up or down to suit your needs. The Oracle Analytics Cloud offering is a leading cloud service at Oracle built on Oracle Cloud Infrastructure.  It runs with a Generation 2 offering and provides consistent high performance and unmatched governance and security controls.

Self-service analytics drive business agility with faster time to insights. You no longer need help from IT to access, prepare, analyze, and collaborate on all your data. Easily create data visualizations with automated chart recommendations and optimize insights by collaborating with colleagues on analyses.

Augmented analytics with embedded machine learning throughout the platform drive smarter and better insights. Always on—and always working in the background, machine learning is continuously learning from the data it takes in, making it smarter and more accurate as time goes by. Uncover deeper patterns and predict trends for impactful, unbiased recommendations.

On the team we develop, deploy, and support the Oracle Analytics platform helping our customers succeed in their journey to drive business value.  You will be working with experts in their field, exploring the latest technologies, you will be challenged while creating features that will be delivered to our customers, asked to be creative, and hopefully have some fun along the way.  Members of our team are tasked to take on challenges along all aspect of our product.

As a member of the Analytics Platform engineering team, you will design, code, debug, and deliver innovative analytic features that involve Java and web technologies with extensive exposure on highly interactive UI development, highly scalable, distributed, multithreaded applications. Key responsibilities include:

• Design, develop, test and deliver new features on a world-class analytics platform suitable for deployment to both the Oracle Cloud and on-premise environments
• Lead the creation of formal design specifications and coding of complex systems
• Work closely with the Product Management on product requirements and functionality
• Build software applications following established coding standards
• Communicate continually with the project teams, explain progress on the development effort
• Contribute to continuous improvement by suggesting improvements to user interface, software architecture or recommending new technologies
• Ensure quality of work through development standards and QA procedures
• Perform maintenance and enhancements on existing software

Key Qualifications:

• BS/MS in Computer Science or related major
• Exceptional analytic and problem-solving skills
• Extensive experience in using, building, debugging multithreaded applications
• Ability to design large, scalable systems for enterprise customers
• Solid understanding concurrency, multithreading and memory management
• Experienced utilizing Java, JavaBeans, JMS
• Experienced in building and using REST and SOAP API's
• Experienced in distributed and scalable server-side software development
• Knowledge in developing, implementing, and optimizing software algorithms
• Solid knowledge of data structures and operating systems
• Basic understanding of Agile/Scrum development methodologies
• Strong written and verbal English communication skills
• Self-motivated and passionate in developing high quality software
• Strong Team Player

Other Qualifications:

• Knowledge of Business Intelligence or Analytics
• Exposure to Kubernetes and Docker
• Familiarity with Microservices and Multi Tenant architecture

Career Level - IC5