Lead QA Automation Engineer

Lead QA Automation Engineer

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

• Strong, practical experience with

Python

• (3+ years):
• Ability to write clean, maintainable automation code
• Ability to manage and extend automation frameworks
• Not just scripting — actual engineering level proficiency
• Strong, proven experience with

Pytest

• (2+ years):
• Fixtures, parametrization, markers
• Test suite structuring
• Framework development & maintenance
• Hands on experience with Git (daily usage):
• Branching strategies, PR workflows, code reviews
• Hands on experience with Azure DevOps:
• Pipelines, repos, boards, test plans
• Backend & API testing expertise:
• REST services, authentication, data validation
• Ability to design and automate API tests
• Strong SQL and Python for test automation:
• Writing complex queries
• Data validation across ETL pipelines
• Experience with Databricks (
• 2+ years preferred
• ):
• Not just reading notebooks — actual testing experience
• Experience with test automation tools:
• Building, maintaining, and scaling frameworks
• Understanding of CI/CD processes:
• Ability to integrate tests into pipelines
• Familiarity with data warehouses & ETL testing
• Ability to own architecture & drive quality strategy
• Experience collaborating with developers
• Able to influence, challenge, and guide engineering teams
• QA leadership experience
• Leading initiatives, mentoring, driving standards
• Fast learner, adaptable to new tools & technologies
• Nice to have
• Experience in the BSFI domain
• Understanding of the Investment Data Domain
• Familiarity with ServiceNow
• Familiarity with Dynatrace or Datadog
• PySpark experience
• ISTQB or equivalent certification