Senior Data QA Lead for Cyber Data Platforms

NSD International, Inc; Charlotte (NC); On-site; USD 90,000 - 125,000; Full time

Job summary

NSD International, Inc. is seeking a senior QA Analyst to drive quality across the Cyber Data Operations team, focusing on designing and executing tests for CyberDW and related dashboards.

You will identify defects, contribute to regression plans, and verify requirements are met to deliver reliable systems. In this role, you will lead manual and automated testing across ETL/ELT pipelines, ensure data validation with SQL/Spark, and collaborate with data engineers and developers to resolve issues

Qualifications

• 8+ years of QA experience in data testing and related disciplines.
• 5+ years leading QA for enterprise data warehouses or data lakes.
• Hands-on Databricks experience and testing data pipelines in cloud platforms.
• Advanced SQL and Spark SQL for complex data validation.
• Python, PySpark and Pandas for test automation and data validation.
• REST API testing with Postman or similar tools.
• Experience testing ETL/ELT pipelines and data mappings.
• Designing functional, integration, regression, system and UAT testing.

Responsibilities

• Develop and execute test plans, test cases, and scripts based on requirements.
• Perform manual and automated testing across functional, regression, integration, and UAT.
• Document defects clearly and collaborate with developers to resolve issues.
• Ensure traceability of requirements and maintain test documentation; participate in agile scrum.
• Identify, evaluate, and manage documentation and deliverables for project testing.

Skills

QA Experience

Data Testing

ETL/ELT Testing

Data Engineering

Data Lake / Lakehouse

Tools

Databricks

SQL

Spark SQL

Python

PySpark

Pandas

Postman

API Testing Tools

Job description

NSD International, Inc. is seeking a senior QA Analyst to drive quality across the Cyber Data Operations team, focusing on designing and executing tests for CyberDW and related dashboards.

You will identify defects, contribute to regression plans, and verify requirements are met to deliver reliable systems. In this role, you will lead manual and automated testing across ETL/ELT pipelines, ensure data validation with SQL/Spark, and collaborate with data engineers and developers to resolve issues