DATA VALIDATION ENGINEER

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.
Experience Required • 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.
Education Preferred Bachelors or better in Information Technology or related field Behaviors Required Detail Oriented: Capable of carrying out a given task with all details necessary to get the task done well Dedicated: Devoted to a task or purpose with loyalty or integrity Motivations Required Self-Starter: Inspired to perform without outside help Goal Completion: Inspired to perform well by the completion of tasks Ability to Make an Impact: Inspired to perform well by the ability to contribute to the success of a project or the organization