Data QA Tester (ETL / SQL)
Akaasa Technologies
Washington, DC, United States
about 1 month ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
JIRA
Microsoft Azure
Cloud Database
Data Auditing
Data Validation
Information Engineering
Data Integrity
Extract Transform Load (ETL)
Data Mapping
Data Masking
Data Migration
+9 more
Data Warehousing
Role-Based Access Control
Standard Sql
SQL Databases
Software Testing Automation Framework
Enterprise Data Management
Azure Data Factory
Information Technology
AWS Data Analytics
Job description
- Looking for a seasoned Data QA Tester with strong ETL testing experience
- Expert-level SQL skills are mandatory
- Experience validating enterprise data migration and ETL pipelines is required, Client is seeking an experienced Data QA Tester to support enterprise data modernization and migration initiatives. This role is responsible for validating data transformations, ETL pipelines, and large-scale migration activities to ensure complete data integrity, business rule compliance, and production readiness. The ideal candidate will possess deep expertise in SQL, ETL testing, data validation, automated testing frameworks, and enterprise data warehouse environments while working closely with Business Analysts, Data Engineers, and business users throughout the testing lifecycle.
Requirements
- 3 5 years of Data QA or ETL Testing experience
- Expert-level SQL
- ETL Testing
- Data Warehouse Testing
- Data Migration Testing
- Data Validation and Reconciliation
- STTM (Source-to-Target Mapping) Validation
- UAT Planning and Execution
- Test Automation Frameworks (dbt Tests, Great Expectations, or similar)
- AWS and Azure Data Platform validation
- Jira and Azure DevOps
- Data Quality Assurance
- Data Masking and PII Validation
- RBAC and Security Testing
- Strong analytical and troubleshooting skills
- Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Information Technology, or related quantitative field
Nice to Have:
- ISTQB Certification or equivalent QA certification
- Enterprise Data Modernization experience
- Cloud Data Migration projects
- AWS Data Services
- Azure Data Engineering exposure
- Financial institution or international organization experience
- Agile/Scrum development experience
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