Company Name: VARITE India Private Limited

About The Client:

We are a technology consulting and services company with 11, 500+ associates in 30+ global locations. More than 145 leading enterprises depend on our expertise to be more disruptive, agile, and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity.

Essential Job Functions:
- Document data conversion strategies, mapping templates, and validation procedures.
- Collaborate with functional teams to understand business requirements and ensure accurate data mapping.
- Lead and execute end-to-end data migration from Oracle EBS to Oracle Fusion Cloud Applications.
- Analyze legacy EBS data structures and map them to Fusion data models.
- Develop and validate data extraction scripts using SQL/PLSQL.
- Utilize Oracle tools like FBDI (File-Based Data Import), HDL (HCM Data Loader), and ADFDI for data loading.
- Perform data cleansing, transformation, and reconciliation.




- Troubleshoot data load errors and perform root cause analysis.
- Exposure to BI Publisher, OTBI for data validation and reporting

Qualifications:

Required Skil
- Deep understanding of EBS R12 architecture, APIs, open interfaces, and data models.
- Experience with Fusion cloud ERP/HCM data structures, business objects, and integration tools.
- Proficiency in Oracle Integration Cloud will be an added advantage
- Strong expertise in Oracle EBS modules (Financials, SCM).
- Hands-on experience with Fusion Cloud data migration tools (FBDI, HDL, ADFDI).
- Valuable to have exposure to Oracle BICC Connectors and loading data from Oracle cloud fusion to 3rd party data warehouses
- Proficiency in SQL, PL/SQL, and data transformation logic.
- Familiarity with Oracle Cloud ERP architecture and business objects.
- Experience in managing large-scale data conversions and integrations.
- Excellent problem-solving and comm

📌 Technical - EBS/Apps Development (India)
🏢 VARITE
📍 India