Lead QA Automation Engineer

Overview

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end-to-end),
• Driving Change and Stakeholder Engagement: Lead efforts to introduce and promote the test automation framework across teams. Drive buy-in from stakeholders and developers by demonstrating the framework's value, providing clear communication, and ensuring alignment with team goals. Help stakeholders and developers embrace automation as an integral part of the software development lifecycle,
• Automate data quality checks for platforms like Data Warehouses (DWH), Data lake, and BigData environments.
• Distribute Across Projects: Design the test tools as an individual package that can be reused in various projects, allowing multiple teams to benefit from a shared test automation solution.
• Automate API and backend testing (REST/gRPC),
• Run performance, scalability, and fault-tolerance tests,
• Integrate tests into CI/CD pipelines,
• Collaborate closely with platform, infra, and ML engineers

Skills

• Must have
• Minimum 8 years in QA Automation.
• minimum 2 years of experience in testing Databricks
• Solid understanding of PySpark (3y+)
• Hands-on experience with Azure DevOps
• Hands-on experience with backend and API testing, including REST services, authentication, and data validation
• Experience with test automation tools
• Strong knowledge of SQL and Python for creating test scripts.
• Familiarity with data warehouses and ETL tools for quality testing.
• Understanding of CI/CD processes and integration.
• Fast learner with the ability to adapt to new technologies and tools.
• Experience in the BSFI domain.
• Strong architectural ownership,
• Team management and developer collaboration,
• QA leadership.
• Nice to have
• Understanding of the Investment Data Domain.
• Familiarity with ServiceNow for incident tracking.
• Familiarity with Dynatrace or Datadog for system observability and monitoring.
• ISTQB certification or equivalent testing certification.