Lead Quality Engineer focusing on test automation and CI/CD for Azure data platforms. Driving quality assurance improvements in a fast-paced, Agile environment within data engineering.
Responsibilities
Design, develop, and maintain automated test frameworks.
Build reusable automated test suites for ETL pipelines, APIs, UI, and back-end systems.
Integrate tests into CI/CD pipelines using GitHub Actions.
Lead the effort to shift from manual QA to automation across platforms.
Create and manage test plans and cases using Jira, Confluence and SharePoint.
Execute both manual and automated tests across Dev, QA, and Prod environments.
Track, manage, and validate defects using Jira.
Perform deep data validations on Databricks, Power BI, and Azure-based data flows.
Collaborate with Data Engineers, Analysts, and BAs to ensure data integrity and test coverage.
Implement automated ETL validation to catch data quality issues early in the cycle.
Set up and optimize CI/CD pipelines, ensuring test automation is fully integrated.
Participate in post-deployment validations and production readiness checks.
Support disaster recovery testing and environment stability checks.
Build and maintain AI-assisted automated test cases.
Leverage AI capabilities for intelligent test case creation and optimization within Jira.
Requirements
Strong QA engineering skills and experience, including test automation and CI/CD.
Strong knowledge of GitHub, GitHub Actions, and CI/CD practices.
Experience with SQL for data validation and automated testing in data platforms.
Proven experience testing in Azure environments (e.g., Databricks, Azure Functions, Power BI).
Familiarity with Agile methodologies and sprint-based development cycles.
Hands-on experience with AI, Jira, Confluence, Git, and SharePoint.
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