Quick overview
Job description
- End-to-End Data QA
- Source-to-Target Mapping Validation
- Complex SQL Data Validation
- QA Automation Framework Development
- Cross-Functional Collaboration
- Mentoring Junior QA Resources
- QA Strategy Development
- ETL Testing
- ELT Pipeline Testing
- Test Plan
- Test case Design
- Automation Framework
- Data Transformation
- Business Rule Validation
- Data Completeness
- Accuarcy
- Integrity
- Consistency Checks
- Root Cause Analysis
- Data Issue Troubleshooting
- Regression Testing
- Volume Testing
- Load Testing
- Advanced SQL
- Azure Data Factory (ADF) Pipelines
- Azure DevOps / CI-CD Pipelines
- Schema Drift Validation
- Pyspark
- Python
- Azure Databricks
- Delta Lake
- DLT
- Devops
- CICD
Bachelor's Degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Business Analytics. Preferred: Master's in Data Science, Master's in Computer Science, Master's in Business Analytics, MBA.
Industry Experience- Healthcare / Health Insurance
- Data Analytics
- Data Engineering
- ETL / ELT
- Insurance
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