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Lead Quality Engineer - R01557793

Brillio 2 Bangalore, Karnataka, India Today

engineering

Lead Quality Engineer

Primary Skills

ETL Testing, SQL, Databricks testing.

Specialization

ETL Specialization: Senior Lead Data Engineer

Job requirements

Data Intelligence QA Role:

We’re seeking an experienced and technically strong Quality Engineer (QE) to help transform our QA function. This is a hands-on role for professionals with a strong mix of data domain expertise, test automation experience, and CI/CD pipeline knowledge.

The QE will be instrumental in building scalable, automated test frameworks that support our cloud-first architecture on Azure, with heavy use of Databricks, Power BI, and Azure Functions.

The ideal candidate is comfortable working in a fast-paced, Agile environment and has experience across both data and software testing—with an eye toward continuous improvement and quality at scale.

Key Responsibilities Automation & QA Engineering

• 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.

Test Planning & Execution

• 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. Data Platform & Reporting Validation.

• 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. CI/CD Pipeline Integration

• 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. AI • Build and maintain AI-assisted automated test cases

• Leverage AI capabilities for intelligent test case creation and optimization within Jira.

Required Skills & Experience

• 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 Qualifications

• Experience setting up CI/CD pipelines from scratch or optimizing existing workflows.

• Background in data security and compliance (e.g., PHI, data masking, access control).

• Experience with performance/load testing tools.

• Knowledge of testing in AI/ML or data science workflows is a strong plus. Soft Skills

• 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.