Enterprise Applications and Data Engineer

Enterprise Applications and Data Engineer
We are looking for an Enterprise Applications and Data Engineer with minimum 2 years of experience, to Leverage Revenue Assurance and Fraud Management (RAFM) platforms to stay ahead over the dynamic RAFM landscape by developing and deploying end-to-end streaming and batch data pipelines to enable training and running of machine learning models. Navigate various data sources and efficiently locate data in a complex data ecosystem.

Maintaining and developing robust, supportable, secure, scalable RAFM software adjustments with particular focus on code quality, scalability, automated testing, and continuous troubleshooting for a (Main/Backup) high volume network structure.

Configuring, upgrading, and troubleshooting all implemented applications in a manner that guarantees their continuous running and providing support to end users as well as testing end-to-end functionality and ensuring compliance with set standards and policies.

Main tasks will include but will not be limited to:

• Work closely with Internal RAFM divisions on implementation and change process design, optimization, execution, delivery of advanced dashboard and reports and collaborate with RAFM divisions in advanced analytics innovation and implementation for all regions under the supervision of RAFM Manager.
• Continuously design, develop, implement, and maintain ETL Pipelines and test data driven solutions.
• Define data models that tie together disparate data across the entire organization and conduct advanced analytics/algorithm research and innovation, deliver AI/Machine Learning models for various use cases.
• Maintain the timely and accurate delivery of sandbox implementation and simulation of all detective routines, as well as following up with regional technology development and manage the testing and deployment of the routines in Production environment.
• Handling employee accessibility, control, and monitoring systems to maintain integrity and confidentiality of the organization’s information.