SAP Data Conversion
3 weeks ago
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: Hyderabad
SAP 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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