Greetings from Maneva!      
   Job Description      
 Job Title - Data Quality Testing & Validation Engineer      
 Experience - 3 - 8 Years      
 Location - PAN India       
 Notice - Immediate to 15 days       
   Requirement:  -      
  - Develop and maintain test cases, test plans, and test scripts for data validation based on the business requirements / Data Products requirements.
 
 
- Focus on 100% coverage of functional test cases.
 
 
- Align Test Scenarios & Cases with overall test strategy / Plan, if applicable.
 
 
- Interpret source to target mapping documents for understanding the business logic.
 
 
- Execute functional, regression, and performance testing of data pipelines and transformations Validate data accuracy, completeness, and consistency across various sources.
 
 
- Perform data reconciliation between source and target systems to identify discrepancies.
 
 
- Test Automation & Scripting:     
- Write Python scripts and SQL queries to automate data validation and reconciliation.
 
 
- Utilize data testing frameworks for automation.
 
 
- Work with engineers to integrate automated tests into CI/CD pipelines.
 
 Develop anomaly detection scripts to monitor data integrity.
 
 
- Collaboration & Defect Management:     
- Work closely with data engineers, analysts, and data product teams to understand data requirements.
 
 Identify, log, and track data quality issues and defects using defect management tools.
 
 
- Participate in root cause analysis and troubleshooting of data-related issues.
 
 Communicate test results and data quality metrics to stakeholders.
 
 
- Analyze defects reported during UAT and identify root cause to avoid recurrence.
 
 
Required Skills:       
  - 3-5 years of experience in data testing, ETL/ELT, API services testing, validate real-time data.
 
 
- Strong SQL skills for querying and validating large datasets in Big Query, comfortable validating data in JSON schema, and XML format.
 
 
- Experience and proficiency with MDM concepts and data validation techniques required for MatchMergeSurvivor Testing.
 
 
- Experience with Python scripting for data testing automation.
 
 
- Hands-on experience with data quality testing tools and frameworks.
 
 
- Experience in GCP - Big Query, Spanner DB and Strong problem-solving and analytical skills for debugging data issues.
 
 
- Experience in validating semi structured & unstructured data.
 
 
If you are excited to grab this opportunity, please apply directly or share your CV at     and