Negotiable
Inside
Remote
Remote
Summary: The QA Engineer - Anonymization Validator is responsible for ensuring the accuracy and compliance of data masking and anonymization solutions. This role involves validating anonymized datasets against privacy standards and supporting user acceptance testing (UAT) and compliance sign-off. The position requires expertise in K-anonymity validation techniques and SQL for data comparison. The role is fully remote and is expected to last for over 12 months with potential for extension.
Key Responsibilities:
- Validate data masking and anonymization outputs
- Execute K-anonymity and L-diversity checks
- Perform reconciliation between source and masked datasets
- Build and execute test cases for data quality and compliance
- Create compliance validation and audit reports
- Identify, track, and document data masking defects
- Support UAT activities and final sign-off processes
Key Skills:
- 6+ years of experience in QA and data validation
- Strong understanding of K-anonymity validation techniques
- Proficiency in SQL for data comparison and profiling
- Experience in test case development and execution
- Strong background in data quality and reconciliation
- Hands-on experience with defect tracking tools (e.g., Jira)
- Excellent documentation and reporting skills
Salary (Rate): £34.50 hourly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
#W2 Requirement
Job Title: QA Engineer - Anonymization Validator
Location: 100% Remote
Duration: 12+ Months contract with possible extension
Employment: W2
Visa: only
Job Description:
Must have
- QA
- data validation
- K-anonymity validation techniques
- SQL for data comparison and profiling
- defect tracking tools
We are seeking an experienced QA Engineer Anonymization Validator to ensure the accuracy, quality, and compliance of data masking and anonymization solutions. The role focuses on validating anonymized datasets against privacy standards and regulatory requirements while supporting UAT and compliance sign-off.
Key Responsibilities:
- Validate data masking and anonymization outputs
- Execute K-anonymity and L-diversity checks
- Perform reconciliation between source and masked datasets
- Build and execute test cases for data quality and compliance
- Create compliance validation and audit reports
- Identify, track, and document data masking defects
- Support UAT activities and final sign-off processes
Required Skills & Qualifications:
- 6+ years of experience in QA and data validation
- Strong understanding of K-anonymity validation techniques
- Proficiency in SQL for data comparison and profiling
- Experience in test case development and execution
- Strong background in data quality and reconciliation
- Hands-on experience with defect tracking tools (e.g., Jira)
- Excellent documentation and reporting skills