Area(s) of responsibility 6–8 years in data engineering or data migration, with at least 3+ years on enterprise ERP migration projects.

Robust 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.

Robust 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 — qualified mapping workbooks, profiling reports, and reconciliation artifacts.

Familiarity with version control (Git) and collaborative development workflows.

📌 Subcontractor Hyderabad
🏢 Birlasoft
📍 Hyderabad