Execute data extractions from SAP ECC using SAP Data Services (BODS)
Query and analyze source and staging data using SAP HANA SQL
Build, maintain, and optimize dataflows, workflows, and extraction jobs
Perform source data analysis and data profiling to identify data quality issues
Perform source to target field-level data mappings
Apply transformation rules, derivations, and validations within SAP Data Services
Translate functional mapping specifications into executable ETL logic
Load master and transactional data into SAP S/4HANA using Migration Cockpit and LSMW
Execute mock loads and support cutover load activities
Analyze load errors, correct data issues, and reprocess loads as required
Validate data across source systems, staging, and S/4HANA targets
Reconcile record counts, balances, and key attributes based on defined validation criteria
Support defect resolution and retesting during mock cycles
Identify data quality issues such as duplicates, missing values, and invalid formats
Support cleansing activities in coordination with business data owners
Implement data correction logic within SAP Data Services where applicable
Support mock load cycles, dress rehearsals, and production cutover execution
Execute data loads according to defined load waves, object sequencing, and cutover schedules
Perform root-cause analysis of load and validation errors across BODS, Migration Cockpit, and HANA layers
Maintain and update mapping specifications and transformation logic documentation
Track, analyze, and remediate data defects using defined defect management processes
Validate data readiness prior to load execution (completeness, format, dependencies)
Work with functional teams to resolve data issues tied to configuration or business rules

Requirements

Bachelor's degree in computer science, information technology, or a related discipline
8+ years of hands-on SAP data migration experience
Strong experience with SAP Data Services (BODS)
Working experience with SAP HANA backend
Practical experience using S/4HANA Migration Cockpit, LSMW & BDC
Demonstrated experience with data extraction, mapping, transformation, and validation
Working knowledge of SAP master data objects (Customer, Vendor, Material, GL)
Experience handling large datasets and flat-file-based loads
Deep knowledge of SAP Table structures
US Citizenship Required: Yes

Benefits

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you build your skills and own your career
Professional growth opportunities include paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and 10 company-paid holidays
Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SAP Data ServicesSAP HANA SQLETL logicdata extractiondata mappingdata transformationdata validationdata profilingdata cleansingroot-cause analysis