QA Data Automation Engineer

QA Automation and Tools Azure Services Proficiency: Knowledge of Azure services like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage1. Programming and Scripting: Proficiency in languages such as Python, SQL, and possibly Powershell, API coding for scripting and automation2. Automation Tools: Experience with automation tools like Playwright, Selenium, JUnit, and Azure DevOps for CI/CD pipelines. Data Modeling and Database Management: Skills in designing data models and managing both SQL and NoSQL databases.Soft Skills Collaboration: Effective communication and teamwork skills to work with cross-functional teams2. Adaptability: Ability to adapt to new tools and technologies as the Azure ecosystem evolves Research: Research oriented with skills to self-motivate and advance with new learning

Created: 2025-02-22