Lead Quality Engineer - R01557793

Brillio

4 months ago

Bengaluru, India

Mid Level / Senior / Staff+

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.
Create and manage test plans and cases using Jira, Confluence, and SharePoint.
Execute both manual and automated tests across Dev, QA, and Prod environments.
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.
Set up and optimize CI/CD pipelines, ensuring test automation is fully integrated.
Participate in post-deployment validations and production readiness checks.
Build and maintain AI-assisted automated test cases.

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.
Preferred: Experience setting up CI/CD pipelines from scratch or optimizing existing workflows.
Preferred: Background in data security and compliance (e.g., PHI, data masking, access control).
Preferred: Experience with performance/load testing tools.
Preferred: Knowledge of testing in AI/ML or data science workflows is a strong plus.
Strong communication and collaboration skills across technical and business teams.
Detail-oriented, with a mindset for continuous improvement and automation-first thinking.
Self-starter with the ability to manage time and tasks independently.

AzureDatabricksGitHub ActionsSQL