QA Test Automation Lead [Center point]

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

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Data Warehouse QA Lead
Location: Columbus OH (4 days onsite)
Contract: Long-term (6 12 months)

Were seeking a QA Test Automation Lead to join a dynamic Data Lake and Data Warehouse team. In this role youll design and implement automation strategies that ensure data quality and integrity across enterprise-scale solutions. Youll collaborate with cross-functional teams to enable the business to leverage data as a strategic asset.

If youre passionate about data continuous improvement and building robust testing frameworks this opportunity is for you.
Key Responsibilities

Lead QA efforts for multiple projects focused on data ingestion and integration.

Design implement and maintain automated testing frameworks and CI/CD pipelines.

Develop and execute test strategies for System Integration Testing (SIT) and support User Acceptance Testing (UAT).

Collaborate with engineers developers and compliance teams to ensure data quality and traceability.

Drive continuous improvement in QA processes and automation.

Create and report on test execution metrics.

Participate in requirement reviews data mapping and technical design inspections.

Analyze data troubleshoot issues and implement solutions for data quality.

Support production implementation verification and validate system quality.

Required Qualifications

Bachelors degree.

5 years of ETL testing experience in a data warehouse environment.

3 years of test automation experience.

2 years with Snowflake and AWS.

Experience leading QA Analysts on project teams.

Preferred Qualifications

Financial services industry experience.

Strong SQL and ETL testing skills; knowledge of data warehouse concepts (star/snowflake schema OLAP).

Proficiency with automation tools (Cucumber Selenium PyTest DBT tests).

Familiarity with CI/CD tools (Azure DevOps).

Excellent communication organizational and problem-solving skills.

Key Technologies: Azure DevOps Python AWS S3 Snowflake Zena DataStage.

a text-decoration: none; color: #464feb; tr th tr td border: 1px solid #e6e6e6; tr th background-color: #f5f5f5; Data Warehouse QA Lead Location: Columbus OH (4 days onsite) Contract: Long-term (6 12 months) Were seeking a QA Test Automation Lead to join a dynamic Data Lake and Data War...

a text-decoration: none; color: #464feb; tr th tr td border: 1px solid #e6e6e6; tr th background-color: #f5f5f5;

Data Warehouse QA Lead
Location: Columbus OH (4 days onsite)
Contract: Long-term (6 12 months)

Were seeking a QA Test Automation Lead to join a dynamic Data Lake and Data Warehouse team. In this role youll design and implement automation strategies that ensure data quality and integrity across enterprise-scale solutions. Youll collaborate with cross-functional teams to enable the business to leverage data as a strategic asset.

If youre passionate about data continuous improvement and building robust testing frameworks this opportunity is for you.
Key Responsibilities

Lead QA efforts for multiple projects focused on data ingestion and integration.

Design implement and maintain automated testing frameworks and CI/CD pipelines.

Develop and execute test strategies for System Integration Testing (SIT) and support User Acceptance Testing (UAT).

Collaborate with engineers developers and compliance teams to ensure data quality and traceability.

Drive continuous improvement in QA processes and automation.

Create and report on test execution metrics.

Participate in requirement reviews data mapping and technical design inspections.

Analyze data troubleshoot issues and implement solutions for data quality.

Support production implementation verification and validate system quality.

Required Qualifications

Bachelors degree.

5 years of ETL testing experience in a data warehouse environment.

3 years of test automation experience.

2 years with Snowflake and AWS.

Experience leading QA Analysts on project teams.

Preferred Qualifications

Financial services industry experience.

Strong SQL and ETL testing skills; knowledge of data warehouse concepts (star/snowflake schema OLAP).

Proficiency with automation tools (Cucumber Selenium PyTest DBT tests).

Familiarity with CI/CD tools (Azure DevOps).

Excellent communication organizational and problem-solving skills.

Key Technologies: Azure DevOps Python AWS S3 Snowflake Zena DataStage.