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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