Data Engineer for ERP Data Migration Projects

Subcontractor Area(s) of responsibility 68 years in data engineering or data migration, with at least 3+ years on enterprise ERP migration projects. Strong understanding of ERP data structures master data (Item, Vendor, Customer, BOM) and transactional data (PO, SO, Invoices, Inventory). Hands-on experience with ERP data loading mechanisms IDOCs, BAPIs, LSMW, batch loaders, APIs, or equivalent import methods. Proficiency in SQL and Python/PySpark for data transformation, pipeline development, and automation. Experience with cloud data services AWS (S3, Glue, Redshift), Azure (Data Factory, Synapse), or Databricks for building scalable data pipelines. Strong expertise in data quality disciplines profiling, cleansing, standardization, deduplication, enrichment, and reconciliation. Experience with iterative migration execution Mock, SIT, UAT, and Production load cycles with progressive data coverage. Ability to work with AI/ML-generated outputs (mappings, rules, confidence scores) and operationalize them into repeatable pipelines. Strong documentation and communication skills professional mapping workbooks, profiling reports, and reconciliation artifacts. Familiarity with version control (Git) and collaborative development workflows. Experience Level Mid Level .