SAP Data Conversion

1 day ago

New Delhi, India SELECCIÓN Consulting Full time

SELECCION is an SAP service company, and we are a passionate global community dedicated to redefining the future of SAP services. Our mission is to deliver impactful solutions. The future promises to be exciting—come and be a part of it.Role: SAP Data Conversion Consultant Exp: 8+ Years Location: HyderabadSAP Data Conversion Summary: We are seeking an experienced SAP S/4HANA Data Conversion Consultant to lead and execute data migration activities during S/4HANA implementation. The ideal candidate will have strong expertise in data extraction, transformation, validation, and loading (ETL) processes using tools such as SAP Data Services (BODS), Migration Cockpit (LTMC/LTMOM), and LSMW, along with a solid understanding of SAP master and transactional data structures across key modules.Responsibilities: Lead and manage the end-to-end data conversion process from legacy systems to SAP S/4HANA. Collaborate with functional and technical teams to define data migration strategy, scope, and timelines. Identify and map data objects (Master Data, Transactional Data, Configuration Data). Develop and maintain data mapping, transformation, and validation logic. Utilize tools such as SAP Migration Cockpit, LSMW, BODS, or Data Services for data load activities. Perform data cleansing, validation, and reconciliation to ensure data accuracy and integrity. Coordinate with functional leads for mock loads, cutover planning, and go-live support. Prepare detailed documentation — including data mapping sheets, load templates, and conversion plans. Troubleshoot load errors and optimize data load performance.Required Skills and Experience: 8 –12 years of total SAP experience with at least 3–5 years focused on S/4HANA Data Migration or Conversion. Hands-on experience with one or more of the following tools: SAP Migration Cockpit (LTMC / LTMOM) SAP Data Services (BODS) LSMW or Custom ETL frameworks Strong knowledge of data objects in FI, CO, SD, MM, PP, and HR modules. Familiarity with cutover planning, data reconciliation, and validation techniques. Experience working with functional teams to ensure data alignment with business processes. Excellent analytical, problem-solving, and documentation skills. Ability to manage multiple data streams in large, complex projects.

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