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.