QA Engineer - Data Lake

SUMMARY OF RESPONSIBILITIES

As a QA Engineer, you will play a critical role in designing, developing, and implementing automated testing frameworks to ensure the quality and reliability of our data-driven applications and APIs. You will be responsible for expanding test automation coverage, optimizing test strategies, and collaborating closely with development, data, product teams and other stakeholders.

This role requires a strong understanding of software testing methodologies, API validation, performance testing, and automation tools.

KEY AREAS OF RESPONSIBILITIES

Test Strategy and Planning:

• Contribute to test strategy formulation and drive improvements in test planning.
• Define test scope, success criteria, and test environments for different projects.
• Collaborate with stakeholders to align test coverage with business objectives.

Test Execution & Automation:

• Implement and execute manual and automated test cases across APIs, databases, and UIs.
• Expand automation test coverage using Python (pytest), Postman, and any other frameworks.
• Identify inefficiencies in the testing process and propose improvements.
• Ability to detect design flaws and inconsistencies.
• Ability to analyse design documents, identify gaps or inconsistencies in requirements, and ensure completeness.

Defect Management & Root Cause Analysis:

• Investigate, track, and document defects using proper defect management tools.
• Conduct root cause analysis and work with developers to ensure timely fixes.
• Continuously monitor test results and improve stability.

CI/CD & Security:

• Enhance CI/CD integration by automating test execution in Gitlab pipelines.
• Apply OWASP Top 10 security best practices in API and performance testing.

Documentation & Collaboration:

• Maintain comprehensive test documentation, including test cases, scripts, and reports.
• Work closely with Developers, QAs, and Data Engineers to improve quality assurance processes.
• Mentor Junior QA Engineers and provide technical guidance.
• Coordinate on software release, including managing Change Requests (CRs), ensuring all items in the CR are tested in UAT, staging, and production (post-deployment).

FUNCTIONAL COMPETENCIES

Programming / Query Languages:

• GraphQL:
  • Expertise in query syntax, fields, arguments, types, and resolvers.
  • Ability to create queries to test use cases and validate responses.
  • Knowledge of how to handle errors and validate error messages.
  • Ability to use tools like Postman to test GraphQL endpoints.
• SQL:
  • Expertise in writing SQL queries to retrieve and validate data.
  • Ability to construct queries for testing data integrity and accuracy.
• Python:
  • Expertise in scripting for automation tests against data structures, data quality, GraphQL API, REST API or any other data related scripting.
  • Ability to write script to verify data accuracy across different data sources like DB, text files, PDF, API, etc.

Automation Testing Frameworks:

• Advanced proficiency in Python-based testing frameworks and tools (pytest, SGQLC, openpyxl, pdfplumber, etc.).
• Familiarity and knowledge of using Postman.
• Experience with k6, JMeter for API and system performance validation, including system monitoring tools like Grafana, Datadog, Dynatrace, etc.

Continuous Integration / Continuous Deployment (CI/CD) & GitOps:

• Strong understanding of GitLab/Jenkins for automated testing.
• Experience in Kubernetes, Helm Chart, ArgoCD.

API Development:

• Experience in API authentication and authorization methods.
• Familiarity with RESTful API, GraphQL API, gRPC

Security:

• OWASP Top 10 knowledge for API security assessment.

General Software Engineering Skills:

• Familiarity with version control systems like Git.
• Understanding of Agile development practices.

Soft Skills:

• Good collaboration skills to work with Developers, Data Engineers, and stakeholders.
• Strong communication skills for conveying technical concepts.
• Strong analytical and problem-solving skills.
• Ability to work in multidisciplinary teams and promote knowledge sharing.

QUALIFICATIONS & EXPERIENCE

Minimum Qualifications

• • Bachelor’s degree in computer science, Information Systems Technology, or Software Engineering
  • 3-5 years’ experience in QA/testing, with a focus on automation and API testing.
  • Experience in Financial Services and/or Technology sectors is a plus.
  • Proficiency in both English and Bahasa Malaysia.