USOP is a dynamic and innovative Orthopaedic Healthcare company committed to leveraging cutting-edge technologies to drive business success. We seek a skilled and detail-oriented Data Validation Engineer to join our Alpharetta, GA-based team in ensuring our data's accuracy, integrity, and reliability through Azure Data Factory.
The Data Validation Engineer's duties include creating and maintaining a relationship with analysts, IT, and leadership, securing data, identifying areas for improvement with the infrastructure, and pinpointing data access to new systems through constant acquisitions. This mid-level position triages multiple incoming priorities, understands staff service needs, responds to data warehouse inquiries/requests/issues, provides technical support, and identifies and resolves issues/incidents with high satisfaction, technical knowledge, and timeliness.
EXPERIENCE / EDUCATIONAL REQUIREMENTS:

• Bachelor's degree in computer science, Information Technology, or related field.
• Proven experience in data validation, quality assurance, and related roles.
• Proficiency in using Azure Data Factory for data integration and validation.
• Strong understanding of data governance principles and best practices.
• Familiarity with SQL, data modeling, and database systems.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Azure Data Factory certification.
• Experience with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, etc.
• Knowledge of data privacy and compliance regulation
• Experience with healthcare-related data is preferred.

ESSENTIAL FUNCTIONS:
The essential functions include, but are not limited to, the following:

• Design and Implement Data Validation Processes:
• Develop and implement robust data validation processes using Azure Data Factory to ensure data accuracy and integrity.
• Collaborate with cross-functional teams to understand data requirements and design validation procedures accordingly.
• Create and Maintain Data Quality Standards:
• Establish and enforce data quality standards and best practices to maintain high-quality data throughout the data lifecycle.
• Work closely with data governance teams to align validation processes with organizational data policies.
• Execute Data Validation Tests:
• Execute data validation tests to identify and rectify discrepancies in the data, ensuring adherence to predefined quality standards.
• Develop and maintain automated validation scripts for efficient and scalable testing.
• Troubleshoot and Resolve Data Issues:
• Investigate and resolve data quality issues by collaborating with data owners, source systems, and other stakeholders.
• Document and communicate findings, propose solutions, and implement corrective actions.
• Monitor and Report on Data Quality Metrics:
• Establish monitoring mechanisms to assess data quality metrics continuously.
• Generate regular reports on data quality metrics, highlighting areas for improvement and success.
• Collaborate with Data Engineering Teams: Expanded Team of Analyst, Information technology, Operations Leadership
• Work closely with data engineers to understand data pipelines and ensure seamless integration of validation processes into data workflows.
• Provide input on data model improvements to enhance data quality.

REQUIRED MINDSETS AND ATTRIBUTES:

• Ability to diagnose and resolve basic and moderately complex technical and computer system issues.
• Ability to multi-task, meet deadlines, and function in a fast-paced, high-volume environment while maintaining high customer service.
• Ability to work with users at all levels of skills and abilities
• Ability to develop and maintain positive business relationships and foster an environment of mutual respect, understanding, trust, and support
• Ability to analyze and organize information and to create effective and accurate documentation and reports.
• Ability to anticipate and respond to the needs of stakeholders (e.g., internal, and external customers, etc.) on time.
• Ability to stay focused on the daily task and project execution while bringing an innovative, forward-thinking mindset to each solution.