QA engineer

Project description

We are looking for a QA Engineer to play a pivotal role in ensuring the quality and reliability of our data platforms. You will be responsible for developing and maintaining test automation frameworks for our data pipelines, ETL processes, and backend systems. This role offers the opportunity to work on cutting-edge technologies in a highly dynamic and collaborative environment. As a key player in test automation, you will drive quality improvement initiatives, work closely with development teams, and contribute to a shift-left approach in our data operations. You'll be at the forefront of ensuring that our data infrastructure supports global investment strategy and mission.

Responsibilities

• Develop and Maintain Test Automation Framework: Develop a pytest test automation framework from scratch, ensuring it is scalable, reliable, and can be easily distributed across multiple teams and projects. The framework should integrate seamlessly with CI/CD pipelines and support efficient automated testing.
• 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.
• 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.
• Use SQL to validate data integrity and support efficient data processing workflows.
• Collaborate in the incident management process to ensure swift issue resolution.
• Security and Code Quality: Utilize tools like Snyk for security scans, linters to ensure clean code, and code coverage reports to maintain high-quality standards and identify potential gaps in test coverage.
• Test Data Management: Use SQL to manage test data, retrieve relevant test information, and store test execution results in a centralized database for historical analysis and reporting.
• Dashboard Design: Create PowerBI dashboards to provide insights into test results, code coverage, and performance trends across projects and test levels.

SKILLS

Must have

• Minimum 8 years in QA Automation.
• Proficiency in testing web interfaces and APIs.
• 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.

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.