Description

You will design, develop, and execute test cases for ETL processes moving data from SAP systems to target environments. This role ensures data accuracy, integrity, and compliance with business rules across the data lifecycle.

Responsibilities

• Validate data accuracy and integrity between SAP source tables and downstream systems like data lakes, DWH, and BI tools.
• Verify data mappings between SAP modules (FI, CO, MM, SD, HR) and target data models.
• Perform data reconciliation to ensure business rules and KPIs derived from SAP data are implemented correctly.
• Develop and maintain automated data validation scripts using SQL and Python.
• Document test results, defects, and data quality metrics, and support User Acceptance Testing (UAT).

Required Skills

• 13+ years of professional experience in data testing or quality assurance.
• Expertise with ETL processes and data warehousing environments.
• Experience testing data sourced from SAP ECC, S/4HANA, and BW.
• Proficiency in SQL for complex queries and data validation.
• Proficiency in Python for scripting and automation.
• Familiarity with Snowflake, BigQuery, and AWS Redshift.
• Ability to collaborate with data engineers, SAP functional consultants, and business analysts.

Key Skills

Education

Any Gradute