Requirements
- 0–2 year of professional experience.
- Fresh graduates are encouraged to apply.
- Bachelor’s degree in Information Technology, Computer Science, Software Engineering, Telecommunications, Data Engineering, Engineering, or a related field.
- Basic knowledge of data processing, file handling, databases, system interfaces, or integration concepts.
- Academic, internship, or project exposure to Java, SQL, Linux, XML, JSON, CSV, REST APIs, SOAP services, or scripting would be considered an advantage.
- Basic understanding of data transformation, validation, filtering, aggregation, enrichment, and routing.
- Interest in working with high-volume usage, event, or transaction data.
- Strong analytical and troubleshooting capabilities.
- Ability to understand data structures, identify inconsistencies, and document processing rules.
- Basic knowledge of telecommunications usage records, utility meter readings, digital-service events, IoT data, or transaction records would be beneficial.
- Exposure to SAP technologies, integration platforms, middleware, or mediation tools would be considered an advantage.
- Basic understanding of Agile delivery methodologies and tools such as Jira and Confluence would be beneficial.
- Business proficiency in English.
- Strong written and verbal communication skills.
- Ability to work independently on assigned tasks while collaborating with functional and technical teams.
- Willingness to undertake structured SAP training and technical capability development.
Responsibilities
- Participate in SAP Convergent Mediation implementation, support, testing, and enhancement activities.
- Learn how SAP Convergent Mediation collects, validates, transforms, enriches, aggregates, and distributes data.
- Assist in documenting source-system formats, target-system requirements, mapping rules, and validation rules.
- Support the configuration and testing of mediation workflows, collection processes, transformation steps, and routing logic.
- Assist with the processing of XML, JSON, CSV, fixed-length files, database records, APIs, and other data formats.
- Support the analysis of usage records, event records, transaction files, and chargeable data.
- Assist in identifying duplicate, invalid, incomplete, rejected, or incorrectly transformed records.
- Participate in unit testing, integration testing, volume testing, reconciliation testing, and regression testing.
- Prepare test cases, test data, processing evidence, reconciliation reports, and defect documentation.
- Support monitoring and troubleshooting of mediation workflows, failed transactions, and file-processing errors.
- Assist with reconciliation between source systems, SAP Convergent Mediation, SAP Convergent Charging, and downstream systems.
- Collaborate with charging consultants, integration developers, database specialists, source-system teams, and infrastructure teams.
- Participate in requirement workshops, technical-design sessions, daily stand-ups, sprint planning, and project demonstrations.
- Maintain interface specifications, mapping documents, operational procedures, monitoring guides, and troubleshooting documentation.
- Complete assigned SAP Convergent Mediation learning paths, technical training, and capability assessments.
- Contribute to reusable data-processing templates, technical accelerators, knowledge articles, and internal demonstrations.
- Communicate processing issues, data-quality concerns, dependencies, and project risks promptly.
Skills Required
- 0-2 years of professional experience
- Bachelor's degree in Information Technology, Computer Science, Software Engineering, Telecommunications, Data Engineering, Engineering, or related field
- Basic knowledge of data processing, file handling, databases, system interfaces, or integration concepts
- Academic, internship, or project exposure to Java, SQL, Linux, XML, JSON, CSV, REST APIs, SOAP services, or scripting
- Basic understanding of data transformation, validation, filtering, aggregation, enrichment, and routing
- Interest in working with high-volume usage, event, or transaction data
- Strong analytical and troubleshooting capabilities
- Ability to understand data structures, identify inconsistencies, and document processing rules
- Basic knowledge of telecommunications usage records, utility meter readings, digital-service events, IoT data, or transaction records
- Exposure to SAP technologies, integration platforms, middleware, or mediation tools
- Basic understanding of Agile delivery methodologies and tools such as Jira and Confluence
- Business proficiency in English and strong written and verbal communication skills
- Ability to work independently on assigned tasks while collaborating with functional and technical teams
- Willingness to undertake structured SAP training and technical capability development
What We Do
We specialize in transforming Revenue Operations through advanced technological integration, combining AI, analytics, and strategic workflow automation. Our core competency lies in developing comprehensive revenue optimization strategies that unify critical business functions including marketing, sales, billing, enterprise resource planning, and revenue recognition. Leveraging SAP and other vendors' enterprise technologies we deliver sophisticated solutions that enable organizations to: - Develop strategic outcome-based business models - Implement enterprise-wide digital transformation - Optimize complex revenue management processes - Minimize implementation risks and operational costs Our approach is distinguished by: 1. Comprehensive industry expertise 2. Advanced technological architecture 3. Proven deployment methodologies 4. Balanced focus on long-term strategic planning and immediate operational improvements We collaborate with clients to design precision-engineered revenue ecosystems that align technological capabilities with strategic business objectives, ensuring sustainable growth and operational efficiency. Expertise Areas: 1. Intelligent Revenue Operations (iRevOps) 2. Enterprise Technology Integration 3. Strategic Digital Monetization 4. AI-Enhanced Business Process Optimization Our methodological framework transforms complex business requirements into streamlined, data-driven operational strategies.
