Subcontractor

Area(s) of responsibility

• 6–8 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.