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

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

Posted Today by TekLeaders, Inc

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

Detailed Description From Employer:

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.