Description

Own test automation frameworks and cloud-based ETL validation for scalable data pipelines.

This role is on-site.

Responsibilities

• Develop and maintain scalable automation frameworks using Python, PySpark, and SQL/NoSQL.
• Build Gen AI automation solutions and validate ML models for enhanced testing coverage.
• Execute manual and automated functional, integration, and performance tests for services and UIs.
• Implement continuous build and deployment pipelines using CI/CD tools.
• Monitor operational efficiency and debug application enhancements.

Required Skills

• 6+ years of experience in software testing and automation.
• Proficiency in Python, PySpark, SQL, Hive, and Azure Databricks.
• Experience with Cloud Testing, Airflow, and Big Data automation.
• Strong fundamentals in Machine Learning concepts and validation.
• Ability to develop test plans, procedures, and scripts.
• Experience with manual testing pre-automation strategies.

Preferred Skills

• Knowledge of Selenium, TestNG, Java, or performance tools like Load Runner/JMeter.
• Familiarity with DevOps technologies: GitHub, Kubernetes, Jenkins, Docker.
• Experience with AI/ML framework validation or Retail domain.

Key Skills

Education

Any Graduate