$ cat jobs/sap-data-migration-engineer-bright-vision-technologies-bbad62e8de4c.json
SAP Data Migration Engineer
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: SAP Data Migration Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $125,000–$145,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced SAP Data Migration Engineer to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Five or more years of SAP data migration experience. Strong hands-on experience with SAP LTMC and S/4HANA migration tools. Experience with SAP SLT replication scenarios. Working knowledge of SAP LVM for system refresh and landscape management. Strong understanding of SAP master and transactional data structures. Experience performing data validation and reconciliation processes. Strong SQL and data analysis skills. Experience working in enterprise SAP landscapes during major implementations.
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