ETL QA Automation Engineer (1433)

Sharp Decisions; Charlotte (NC); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Sharp Decisions is seeking a senior ETL QA Automation Engineer to join the Cyber Data Operations team within ISDAD. The role involves designing and executing test cases for CyberDW and Cyber Data Dashboards, identifying defects, and contributing to regression test plans.

You will participate in Agile Scrum, maintain test documentation, validate data pipelines, and mentor junior testers while ensuring reliable systems through thorough testing across functional, integration, and performance scopes.

Qualifications

• 8+ years of QA/ETL testing experience in data environments.
• 5+ years leading QA for data warehouses, lakes, or lakehouse platforms.
• Strong Databricks experience and data pipeline testing.
• Advanced SQL and Spark SQL for data validation and analysis.
• Python, PySpark and Pandas for test automation and validation.
• REST APIs testing with Postman or similar tooling.
• Experience validating ETL/ELT pipelines and data transformations.
• Experience in multiple testing types: functional, integration, regression, UAT.

Responsibilities

• Develop and execute test plans, cases, and scripts based on requirements.
• Perform manual and automated testing across functional, regression, integration, and UAT.
• Document defects and collaborate with developers to resolve issues.
• Maintain test documentation and ensure traceability of requirements.
• Participate in Agile Scrum calls and provide usability and stability feedback.
• Identify and manage documentation and deliverables for each project testing.

Skills

ETL Testing

QA Automation

SQL

Spark SQL

Python

PySpark

Pandas

Databricks

REST APIs

Postman

Data Validation

Data Pipelines

Root Cause Analysis

Tools

Databricks

Postman

Job description

Location: Charlotte, North Carolina – 3 days a week onsite

Experience Level: Senior (8+ Years)

Summary

We are seeking a senior-level ETL QA Automation Enineer to support the Cyber Data Operations team within ISDAD. This candidate will be involved in QA testing efforts, including designing and executing test cases for CyberDW and Cyber Data Dashboards. The role will identify, report, and track defects while participating in the creation and maintenance of regression test plans, test cases, and scripts. This position supports the delivery of reliable systems by identifying defects and verifying that requirements are met.

Responsibilities

• Develop and execute test plans, test cases, and test scripts based on business and technical requirements.
• Perform manual and automated testing across functional, regression, integration, and user acceptance phases.
• Document defects clearly and collaborate with developers to resolve issues.
• Ensure traceability of requirements and maintain test documentation. Participate in Agile Scrum calls with the CyberDW team and provide feedback on system usability and stability. Contribute to continuous improvement of QA processes and tools.
• Identify, evaluate, and manage the documentation and deliverables required for each project testing and automation.

Skills & Qualification

• 8+ years of experience in Quality Assurance, Data Testing, ETL/ELT Testing, Data Engineering, or related disciplines.
• 5+ years of experience leading QA efforts for enterprise data warehouse, data lake, or lakehouse platforms.
• Strong hands-on experience with Databricks and testing data pipelines in cloud-based data platforms.
• Advanced proficiency in SQL and Spark SQL for complex data validation, reconciliation, and root-cause analysis.
• Hands-on experience with Python, PySpark, and Pandas for test automation, data validation, profiling, and analysis.
• Hands-on experience testing and validating REST APIs using Postman or similar API testing tools.
• Strong experience testing ETL/ELT pipelines, data transformations, and source-to-target mappings.
• Experience designing and executing functional, integration, regression, system, performance, and user acceptance testing.