EXP: 14+ years (Must)
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Job Title: Senior QA Automation Engineer – Data Engineering & Analytics EXP
Location: Washington D.C ( Remote )
Job Overview:
We are seeking a QA Automation Engineer with expertise in test automation, performance testing, data validation, UI/UX testing, and data engineering pipeline testing. The ideal candidate will be responsible for developing automated test scripts, validating
batch and real-time data pipelines, ensuring data quality and integrity across enterprise systems, and verifying the performance, reliability, and accuracy of applications, reports, and analytics solutions.
Responsibilities
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Design, develop, execute, and maintain automated test scripts using Playwright.
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Perform functional, regression, integration, UI/UX, end-to-end, and API testing.
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Conduct performance and load testing using JMeter or similar tools.
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Validate data engineering pipelines, ETL/ELT processes, data transformations, and data quality controls.
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Perform real-time data validation and testing of streaming data pipelines to ensure accuracy, completeness, timeliness, and consistency of data.
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Test and validate data integration workflows, data warehouses, and analytics platforms.
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Validate Tableau dashboards, reports, visualizations, and underlying data sources.
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Create test plans, test cases, and test scripts based on business and technical requirements.
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Collaborate with Business Analysts, Developers, Data Engineers, and stakeholders to ensure solution quality.
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Identify, document, prioritize, and track defects through resolution.
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Support CI/CD processes and contribute to continuous testing initiatives.
Required Qualifications
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9+ years of QA/Test Automation experience.
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Strong hands-on experience with Playwright automation.
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Experience with performance testing tools such as JMeter.
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Experience testing data engineering pipelines, ETL/ELT processes, databases, data warehouses, and reporting solutions.
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Experience validating real-time or streaming data pipelines and data quality controls.
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Experience with Tableau testing, reporting validation, and data reconciliation.
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Strong SQL, data analysis, and data validation skills.
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Knowledge of UI/UX testing, API testing, and Agile development methodologies.
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Excellent communication, analytical, and problem-solving abilities.