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
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 requireme...
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
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