QA Consultant - Data Testing | ETL | SQL | Cloud Data Platforms

Tek Leaders Inc

Cincinnati, OH

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.

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Vacancy posted 29 days ago

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