Quality Engineer/SDET with SRE & Azure Data Platform

Key Responsibilities:
• Design and implement test automated testing frameworks for Azure Data services including Azure Databricks, Azure Data Factory, and Azure Data Pipelines.
• Experience in test automation using Java or Python based frameworks, work independently and automate Azure Data bricks and pipelines test cases.
• Collaborate with SRE teams to define SLIs/SLOs, monitor system health, and drive incident response and postmortem analysis.
• Ensure data quality, pipeline reliability, and performance optimization across cloud-based data platforms.
• Develop and maintain CI/CD pipelines for data workflows and testing environments.
• Conduct root cause analysis and implement preventive measures to improve system reliability.
• Work closely with developers, data engineers, and DevOps teams to integrate quality checks into the development lifecycle.
• Apply retail domain knowledge to validate business-critical data flows and analytics.

Required Skills & Qualifications:
• 5+ years of experience in Quality Engineering or SRE roles.
• Strong experience with Azure Databricks, Azure Data Factory, and Azure Data Pipelines.
• Proficiency in Python, SQL, and scripting for test automation and data validation.
• Solid understanding of SRE principles including monitoring, alerting, incident management, and reliability metrics.
• Experience with cloud-native testing tools, CI/CD, and DevOps practices.
• Familiarity with retail data models, inventory systems, or customer analytics is highly desirable.
• Excellent problem-solving, communication, and collaboration skills