HI There Looking for a Data Quality Engineer for our client in Minneapolis, MN. Locals are preffered since its on-site position. Responsibilities: Data Deidentification and Synthesis: Implement and maintain data deidentification pipelines using Tonic.ai (or similar tools) to mask and synthesize sensitive data. Configure and customize Tonic.ai workflows to meet specific deidentificationrequirements and compliance standards. Develop and execute data masking strategies to ensure data utility while preserving privacy. Data Quality Framework Development: Contribute to the development and implementation of data quality checks and validation processes. Write Python scripts to automate data quality assessments and reporting. Assist in identifying and resolving data quality issues. AWS Cloud Infrastructure: Deploy and manage applications and data pipelines on AWS services (e.g., EC2, S3, Lambda, RDS Utilize AWS services to scale and optimize data processing and storage. Monitor and troubleshoot AWS infrastructure related to data deidentification and quality. Python Programming: Develop and maintain Python scripts for data manipulation, automation, and integration with various systems. Write clean, efficient, and well-documented code. Participate in code reviews and contribute to best practices. Collaboration and Communication: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and deliver solutions. Document technical specifications and procedures. Communicate effectively with team members and provide regular updates on project progress. Required Skills and Qualifications: Bachelors degree in computer science, Engineering, or a related field. Proficiency in Python programming. Familiarity with AWS cloud services (e.g., EC2, S3, Lambda, RDS Understanding of data privacy concepts and deidentification techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to learn quickly and adapt to new technologies. Preferred Skills: Experience with Tonic.ai or other data synthesis/masking tools. Knowledge of SQL and database systems. Experience with data quality frameworks and tools. Familiarity with data governance and compliance standards (e.g., GDPR, HIPAA experience with version control such as git.