QA Data Quality Specialist for Data Validation Systems
Budget: $2 – $8 USD
We need an experienced QA/Data Quality Specialist to ensure the accuracy, reliability, and consistency of our data systems and outputs.
You'll be responsible for verifying extracted and processed data, developing validation rules, and implementing quality checks to ensure our system outputs meet defined standards including NCSI compliance.
Requirements:
• Proven experience in automated testing and QA processes
• Strong knowledge of data validation techniques and methodologies
• Experience with QA best practices and testing frameworks
• High attention to detail and analytical thinking skills
• Ability to design and execute both automated and manual test cases
• Experience identifying data issues and collaborating with development teams
Preferred Skills:
• Experience with data pipelines or ETL systems
• Proficiency in SQL and data analysis tools
• Understanding of software development lifecycle (SDLC)
• Experience monitoring data quality metrics
Deliverables:
• Data validation rules and quality check implementations
• Automated and manual test case documentation
• Bug reports and issue tracking
• Data quality metrics monitoring and reporting
• Process improvement recommendations
This is an hourly position where you'll work closely with our development team to maintain high data quality standards. The role involves both technical validation work and strategic quality assurance planning.
You'll be responsible for verifying extracted and processed data, developing validation rules, and implementing quality checks to ensure our system outputs meet defined standards including NCSI compliance.
Requirements:
• Proven experience in automated testing and QA processes
• Strong knowledge of data validation techniques and methodologies
• Experience with QA best practices and testing frameworks
• High attention to detail and analytical thinking skills
• Ability to design and execute both automated and manual test cases
• Experience identifying data issues and collaborating with development teams
Preferred Skills:
• Experience with data pipelines or ETL systems
• Proficiency in SQL and data analysis tools
• Understanding of software development lifecycle (SDLC)
• Experience monitoring data quality metrics
Deliverables:
• Data validation rules and quality check implementations
• Automated and manual test case documentation
• Bug reports and issue tracking
• Data quality metrics monitoring and reporting
• Process improvement recommendations
This is an hourly position where you'll work closely with our development team to maintain high data quality standards. The role involves both technical validation work and strategic quality assurance planning.