SAP Data Migration and Data Integration Expert
siemens-healthineers
Job Description
- Execute SAP MDG master data migrations (BP, Customer, Vendor, Material) within the S/4HANA environment.
- Define and implement data migration strategies, mapping rules, and transformation logic for legacy to S/4 conversion
- Perform data profiling, cleansing, enrichment, and deduplication activities aligned with business rules
- Design and execute ETL processes (Extraction, Transformation, Load) using SAP BODS, Snowflake, or similar tools.
- Build and run staging, reconciliation, and validation frameworks using Snowflake and advanced SQL.
- Manage large-scale MDG mass processing / CMP loads, including error handling and reprocessing.
- Define and validate business mapping rules (e.g., bank, tax, sales areas, partner functions, roles) across segments
- Perform data reconciliation and migration testing (unit, SIT, mock loads, cutover) to ensure completeness and accuracy.
- Analyze and resolve MDG migration errors, data inconsistencies, and replication issues across integrated systems.
- Collaborate with business and governance stakeholders to ensure data usability, compliance, and process fit.
- Support cutover planning, migration sequencing, and go-live readiness activities.
- Work with data governance, business, and integration teams to ensure end-to-end usability of data.
What You Bring
- 5–8 years of experience in SAP MDG functional processes and data model management.
- Strong understanding of SAP MDG data models, including Business Partner (BP), Material, Customer, Vendor, and the staging and active areas.
- Expertise across key master data domains, including:
- Address and communication data
- Bank and payment data
- Tax structures
- Business Partner roles and relationships
- Identification objects
- Strong understanding of cross-object dependencies and integration impacts, including BP ↔ Customer ↔ Vendor ↔ FI/SD/MM.
- Hands-on experience with Snowflake and SQL for staging, reconciliation, and validation.
- Strong expertise with ETL tools such as SAP BODS and migration automation.
- Experience managing large-volume datasets and optimizing performance for mass data loads.
- Ability to design and execute data quality checks, reconciliation reports, and error logs.
- Experience extracting and staging data from legacy systems such as SAP ECC and non-SAP platforms.
- Proven ability to troubleshoot and resolve migration failures related to data inconsistencies, mapping issues, configuration gaps, and replication failures.
- Experience with log analysis including SAP BODS logs, MDG staging logs, and IDoc/DRF errors.
- Hands-on experience with MDG mass processing, CMP loads, migration testing cycles, mock loads, data validation, and reconciliation.
- Familiarity with data governance frameworks and business sign-off processes.
- Ability to collaborate effectively with business stakeholders, data stewards, and integration teams.