100% remote - Anonymization Validator, QA Engineer - QA and data validation, K-anonymity validation techniques, SQL for data comparison and profiling, defect tracking tools - Immediate Interviews - Direct Client
Posted 1 day ago by Accion Labs
Negotiable
Undetermined
Remote
Remote
Summary: One of my direct clients, a Telecommunication equipment manufacturer, is seeking a QA Engineer - Anonymization Validator to ensure the accuracy, quality, and compliance of data masking and anonymization solutions. The role is focused on validating anonymized datasets against privacy standards and regulatory requirements while supporting UAT and compliance sign-off. This position is 100% remote and requires expertise in QA and data validation techniques. The contract duration is expected to be over 6 months.
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): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
One of my direct clients, a Telecommunication equipment manufacturer, is seeking
a QA Engineer - Anonymization Validator.
100% remote
Skills - QA and data validation, K-anonymity validation techniques, SQL for data comparison and profiling, defect tracking tools
Duration - 6+ months, C2C/W2, cannot sponsor
Rate - DOE
Client details will be shared post technical call
Job Summary:
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