Data QA Automation Engineer

Responsibilities

• Design and maintain automated validation frameworks for ETL pipelines and large-scale data systems
• Validate complex data transformations, aggregations, and business rules across high-volume datasets
• Automate workflows related to data quality, end-to-end testing, and agent eval
• Implement robust data quality automation checks to ensure accuracy and reliability
• Leverage Generative AI to accelerate test case generation and detect anomalies
• Integrate automated validation and quality gates into CI/CD pipelines
• Build dashboards to track data quality KPIs and automation coverage
• Develop and maintain API and web automation frameworks
• Perform advanced SQL and database validation testing
• Maintain strong DevOps practices using Git and CI/CD systems

Requirements

• Strong hands-on coding skills in JavaScript
• Experience with automated validation frameworks for ETL and large-scale data
• Proficiency in SQL and database validation testing
• Experience with API and web automation frameworks (Cypress, Playwright, or Selenium)
• Knowledge of Git and CI/CD systems

Preferred Qualifications

• Experience with AI-assisted development tools like Cursor
• Experience with performance testing tools such as JMeter or Gatling
• Knowledge of Python, Java, or Scala
• Familiarity with distributed data systems or event-driven architectures

Benefits

• Competitive salary
• Exposure to niche data technologies and large-scale data handling
• Flexible timing
• Open, diverse, and autonomous team culture