Description

You will ensure the accuracy and reliability of enterprise data flowing from SAP source systems into downstream environments.

This role is hybrid.

Responsibilities

• Design, develop, and execute test cases for ETL processes from SAP systems (ECC, S/4HANA, BW) to target data environments.
• Validate data accuracy and integrity across SAP source tables and downstream systems including data lakes, data warehouses, and BI tools.
• Verify data mappings between SAP modules (FI, CO, MM, SD, HR) and target data models.
• Perform data reconciliation and validate that business rules and KPIs derived from SAP data are correctly implemented.
• Develop and maintain automated data validation scripts using SQL and Python.

Required Skills

• 13+ years of professional experience, including 6+ years in data testing, ETL testing, or data quality assurance.
• Strong knowledge of SAP data structures, tables, and functional modules (FI/CO, MM, SD, HR).
• Proficiency in SQL for data validation and reconciliation across SAP and non-SAP systems.
• Experience with ETL tools including Informatica, Talend, SSIS, or DataStage.
• Experience writing Python scripts for automated data validation.
• Understanding of data warehouses, data lakes, and data modeling concepts.
• Any Graduate education.

Preferred Skills

• Experience with SAP BW and S/4HANA specific data structures.

Key Skills

Education

Any Graduate