Negotiable
Undetermined
Remote
Remote or Cincinnati, Ohio
Summary: We are looking for a QA Consultant specializing in Data Testing, with a focus on validating enterprise data platforms, ETL pipelines, and cloud data warehouses. The role involves collaboration with various stakeholders to ensure the delivery of high-quality data solutions. The ideal candidate should have hands-on experience in data quality assurance and related testing methodologies. This position is remote and requires expertise in SQL and cloud-based data ecosystems.
Key Responsibilities:
- Design, develop, and execute comprehensive test strategies for enterprise data platforms and analytics solutions.
- Validate ETL/ELT pipelines to ensure accurate extraction, transformation, and loading of data.
- Perform source-to-target data validation across multiple databases and cloud environments.
- Develop SQL queries for backend data validation, reconciliation, and integrity checks.
- Validate data migration projects involving structured and semi-structured data.
- Perform end-to-end testing of Data Warehouse and Data Lake solutions.
- Execute functional, regression, integration, system, and user acceptance testing for data applications.
- Validate reports, dashboards, KPIs, and analytical data delivered through BI platforms.
- Test batch processing, streaming data pipelines, and real-time integrations.
- Validate APIs supporting enterprise data ingestion and data services.
- Collaborate with Data Engineers to troubleshoot data quality and pipeline issues.
- Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives.
- Create test plans, test cases, test scripts, and defect reports.
- Work closely with business users to validate business rules and reporting accuracy.
- Support production deployments and post-release validations.
- Drive continuous improvements in Data QA processes and automation.
Key Skills:
- Strong expertise in data quality assurance and validation.
- Hands-on experience with SQL, ETL testing, and data migration testing.
- Familiarity with cloud data platforms and business intelligence solutions.
- Ability to collaborate effectively with cross-functional teams.
- Experience in Agile methodologies and participation in Agile ceremonies.
- Proficient in developing test plans, test cases, and defect reports.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
QA Consultant - Data Testing | ETL | SQL | Cloud Data Platforms
remote only on w2 basis!
Job Summary
- We are seeking an experienced QA Consultant - Data Testing with strong expertise in validating enterprise data platforms, ETL pipelines, cloud data warehouses, and business intelligence solutions.
- The ideal candidate will possess hands-on experience in data quality assurance, SQL validation, ETL testing, data migration testing, API validation, and cloud-based data ecosystems.
- This role requires close collaboration with Data Engineers, Data Architects, Business Analysts, and Product Owners to ensure high-quality, reliable, and accurate data solutions.
Key Responsibilities
- Design, develop, and execute comprehensive test strategies for enterprise data platforms and analytics solutions.
- Validate ETL/ELT pipelines to ensure accurate extraction, transformation, and loading of data.
- Perform source-to-target data validation across multiple databases and cloud environments.
- Develop SQL queries for backend data validation, reconciliation, and integrity checks.
- Validate data migration projects involving structured and semi-structured data.
- Perform end-to-end testing of Data Warehouse and Data Lake solutions.
- Execute functional, regression, integration, system, and user acceptance testing for data applications.
- Validate reports, dashboards, KPIs, and analytical data delivered through BI platforms.
- Test batch processing, streaming data pipelines, and real-time integrations.
- Validate APIs supporting enterprise data ingestion and data services.
- Collaborate with Data Engineers to troubleshoot data quality and pipeline issues.
- Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives.
- Create test plans, test cases, test scripts, and defect reports.
- Work closely with business users to validate business rules and reporting accuracy.
- Support production deployments and post-release validations.
- Drive continuous improvements in Data QA processes and automation.