PowerCurve Developer

at  Capgemini

Come and join a thriving company and become part of a diverse global collective of free-thinkers, entrepreneurs and industry experts who are all driven to use technology to reimagine what’s possible. Capgemini. Get the future you want. For more about why Capgemini https://www.capgemini.com/au-en/careers/why-join-capgemini/
This role could be in Sydney, Melbourne, Canberra, Brisbane, Adelaide, Perth and Hobart.

LET’S TALK ABOUT YOUR CAPABILITY AND EXPERIENCE

• Bachelor’s degree in Computer Science, Software Engineering, or a related field. A Master’s degree is preferred.
• Minimum of 3-5 years of experience in software development, with a focus on data collection and analysis.
• Technical Skills: Proficiency in programming languages such as Python, Java, or C#. Experience with data processing frameworks and tools like Apache Hadoop, Spark, or similar.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights.
• Communication: Excellent written and verbal communication skills, with the ability to present technical information clearly and effectively.
• Team Player: Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
• Preferred Qualifications:
• Financial Services Experience: Familiarity with the financial services sector, particularly in power curve data analysis and collection.
• Software Tools: Experience with software development tools such as Git, Jenkins, and Docker.
• Data Visualisation: Knowledge of data visualisation tools and libraries, such as D3.js, Tableau, or similar.

• Software Development: Design, develop, and maintain software applications for Experian power curve collections, analysis, and visualisation.
• Data Integration: Work with large datasets to integrate, process, and analyse power curve data from various sources.
• Performance Optimisation: Implement algorithms and techniques to optimise the performance and accuracy of power curve collections.
• Collaboration: Collaborate with data scientists, engineers, and other stakeholders to understand requirements and deliver effective software solutions.
• Testing & Debugging: Conduct thorough testing and debugging of software applications to ensure reliability and performance.
• Documentation: Create and maintain comprehensive documentation for software applications, including design specifications, user guides, and technical manuals.
• Continuous Improvement: Stay updated with the latest trends and technologies in software development and the financial services sector to continuously improve our solutions.