ETL Data QA Specialist - Manual Testing (Healthcare)

Groupe Kardol; Aliso Viejo (CA); On-site; USD 70,000 - 110,000; Full time

Job summary

Axelon Services Corporation in Chicago, IL is seeking a Manual QA Tester for ETL processes and data transformations across source systems, staging areas, data warehouses, and reporting layers. The role focuses on designing comprehensive test plans, validating mappings and business rules, executing SQL-based checks, and performing UAT to ensure end-to-end healthcare workflows meet regulatory requirements.

Candidates will document results, track defects in Jira/Azure DevOps, and collaborate with

Qualifications

• Analyze business, functional, and technical requirements to design comprehensive manual test plans, test cases, and test scenarios across application and data platforms.
• Validate data mappings, transformations, aggregations, and business rules across source systems, staging layers, data warehouses, and reporting layers.
• Log, track, and manage defects using Jira or Azure DevOps, collaborating with developers and data engineers to resolve issues.

Responsibilities

• Conduct data integrity checks, reconciliations, and consistency validations using SQL and other data validation techniques.
• Test and validate SSIS packages, ETL pipelines, and data extracts to ensure accuracy, completeness, and compliance with requirements.
• Perform system, integration, regression, and UAT testing to validate end-to-end healthcare workflows and data flows.

Skills

SQL

Manual testing

Healthcare domain

Tools

SSIS

SSRS

Jira

Azure DevOps

Job description

Axelon Services Corporation in Chicago, IL is seeking a Manual QA Tester for ETL processes and data transformations across source systems, staging areas, data warehouses, and reporting layers. The role focuses on designing comprehensive test plans, validating mappings and business rules, executing SQL-based checks, and performing UAT to ensure end-to-end healthcare workflows meet regulatory requirements.

Candidates will document results, track defects in Jira/Azure DevOps, and collaborate with