KPMG—BRIM · Assistant Manager · MS · Pune

Job description

Description: About us KPMG is a leading professional services firm comprising over 200,000 professionals who work together to deliver value in more than 155 countries through in-depth industry insights in Audit, Tax & Advisory. The firm recorded more than USD 28.9 billion in revenues in 2018. KPMG Global Services (KGS) is a strategic global delivery organization that engages with KPMG member firms to provide innovative, scalable and customized Advisory, Tax and Audit services to more than 50 member firms worldwide. KGS Management Consulting (MC) provides advisory services to member firms on business transformation journeys across various functions – Finance, Operations, Procurement, Supply Chain, Sales & Marketing, Human Resources & Information Technology. Some of our priority sectors are Financial Services, Healthcare & Life Sciences, Industrial Manufacturing, Consumer Markets, Telecom, Media & Technology, and Energy & Natural Resources. Requirements: Graduation Responsibilities: Main Responsibilities - AP Convergent Mediation Pipeline Development: Analyse, change, configuration, desubg and support SAP CM solutions and processing flows, including mediation pipelines, data transformation logic, event enrichment processes, routing and filtering rules, and aggregation and normalization processes - Usage Data Processing & Transformation: Develop solutions to process and transform high-volume usage and event data from multiple source systems, covering event collection, usage normalization, data validation, error handling, event enrichment, and duplicate detection and correction - Workflow Configuration & Agent Management: Design and configure mediation workflows using predefined agent types — Input, Processing, Validation, Aggregation, Forwarding, Output, Error Handling, and Routing agents — to define how network data is collected, processed, and forwarded - Data Validation & Cleansing: Check incoming data for accuracy, completeness, and consistency against predefined rules; remove or correct inaccurate, incomplete, or irrelevant data to improve data quality - Data Enrichment: Enhance usage records with additional information from external repositories and databases, such as customer details, service plans, and geographical data, to support accurate billing and analysis - Data Normalization & Format Standardization: Standardize data to a common format, eliminate redundancies and inconsistencies, and translate protocols or formats as needed before forwarding to target systems - Error Detection & Reprocessing: Deduplicate inputs, filter out erroneous data, capture and correct errors, rerun corrected data, and identify bad sources to reduce revenue leakage [2] - Integration with BRIM Downstream Systems: Integrate SAP Convergent Mediation with downstream systems including SAP Convergent Charging (for rating and pricing), SAP Convergent Invoicing, SAP FI-CA, and Subscription Order Management (SOM) - High-Volume Data Processing & Performance Tuning: Handle high-volume usage data from multiple data streams; optimize mediation pipelines, workflows, and processing engines for scalability and throughput; troubleshoot performance bottlenecks - APIs, BAPIs & Middleware Integration: Support APIs, BAPIs, REST/SOAP interfaces, file-based interfaces, and real-time event processing frameworks; collaborate with integration architects on enterprise integration strategies - Error Handling & Root Cause Analysis: Support defect analysis, troubleshooting, and issue resolution activities; investigate and resolve data inconsistencies or processing failures - SQL & Database Knowledge: Apply SQL and database concepts to support mediation data management and processing operations - Monitoring & Observability: Monitor mediation environments for logging, tracing, observability, and alerting; collect backend information including platform logs, EC logs, and workflow configuration exports for support case resolution - Complex Event Processing (CEP): Analyze and process multiple events in real-time to identify patterns or trends across high-volume data streams - SAP Cloud ALM Integration: Understand how to integrate SAP Convergent Mediation systems with SAP Cloud ALM tenants for operational monitoring and lifecycle management Soft Skills - Analytical & Problem-Solving Skills: Strong ability to diagnose data discrepancies, processing failures, and complex mediation scenarios with attention to detail and a data-driven approach [ - Communication Skills: Strong verbal and written communication skills for interacting effectively with both business and technical teams, including stakeholders and integration architects [5] - Collaboration & Teamwork: Ability to work collaboratively in cross-functional team environments, including offshore and onshore teams - Stakeholder Engagement: Collaborate with business stakeholders and functional teams to gather and analyze requirements, and translate them into technical mediation specifications [5] [1] - Documentation: Prepare and maintain detailed technical documentation for mediation configurations, custom developments, and support activities - Agile Delivery Mindset: Comfortable working in Agile and hybrid delivery methodologies