Data Validation Engineer

This role focuses on ensuring the quality and integrity of data systems. The Data Validation Engineer will be responsible for designing, developing, and implementing data validation processes to identify and resolve data discrepancies, ensuring data accuracy and reliability across various platforms.

Key Responsibilities:

Develop and implement data validation rules and procedures.
Monitor data quality and identify areas for improvement.
Investigate and resolve data discrepancies.
Collaborate with data engineers and other stakeholders to ensure data quality standards are met.
Automate data validation processes to improve efficiency.
Document data validation processes and procedures.

Requirements/Qualifications:

Significant experience in data validation and quality assurance.
Strong understanding of data warehousing concepts and technologies.
Proficiency in data validation tools and techniques.
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.
Experience with data governance principles.

About the Company: KPI Partners is a technology consulting firm that helps businesses leverage data and analytics to achieve their strategic goals. They specialize in providing innovative solutions across various industries to improve decision-making and drive business outcomes.