We are looking for a skilled Data Quality & Validation Engineer with strong experience in ETL, SQL, and ABAP to ensure the integrity and accuracy of our data products. This role involves working closely with cross-functional teams to test, validate, and certify enterprise data transformations and migrations.

Key Responsibilities:

Design and execute test plans for data products, including ETL processes and data migration projects.
Validate data integrity and consistency across systems using SQL and ABAP.
Collaborate with development and functional teams to understand data flows and requirements.
Perform impact analysis and regression testing using tools like Tricentis LiveCompare, Panaya, and other test management tools.
Identify, document, and track data quality issues to resolution.
Work with stakeholders to define and implement data validation strategies and test automation where applicable.

Required Skills:

Strong hands-on experience in ETL processes, SQL, and ABAP.
Deep understanding of data validation techniques and data integrity principles.
Experience with test management tools and frameworks for enterprise data environments.
Exposure to tools like Tricentis LiveCompare, Panaya, or equivalent platforms.
Ability to analyze large data sets and troubleshoot data discrepancies.
Excellent communication and documentation skills.