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Test Assurance Professional
2 weeks ago
We are looking for a Quality Assurance Engineer to join our team. As a Quality Assurance Engineer, you will be responsible for ensuring the quality of our software products. You will work closely with cross-functional teams, including developers, product owners, and business analysts, to identify and prioritize defects and areas for improvement.
Key Responsibilities:
- Design and implement test strategies, test plans, and test cases for new and existing features.
- Conduct appropriate quality assurance tests to ensure the quality of the features delivered to the end-users meet expectations.
- Drive automation initiatives to support continuous integration and delivery (CI/CD) pipelines.
- Participate in sprint planning, design reviews, and code reviews to ensure quality is considered throughout the development lifecycle.
Requirements:
- Hands-on experience in quality assurance for data platforms, analytics applications, or enterprise software across both functional as well as non-functional scenarios.
- Strong understanding of software QA methodologies, tools, and processes across the SDLC.
- Experience designing and executing test strategies for both frontend and backend components of analytics platforms.
- Familiarity with testing analytics dashboards and visualizations (e.g., Grafana), ensuring data accuracy and usability.
- Exposure to end-to-end testing application components hosted in cloud environments, particularly AWS.
- Competence in writing clear, reusable test cases and documenting test results in tools like Azure DevOps, Atlassian JIRA, etc.
- Understanding of automated testing principles and experience contributing to automation frameworks or pipelines.
- Ability to identify data quality issues and collaborate with developers and data engineers to resolve them.
- Experience working in Agile teams with active participation in sprint and QA planning and reviews.
- Prior experience in working with Grafana ecosystem of tools (e.g., Grafana, K6 testing tool, and Snowflake is a plus).
- Working knowledge of data validation techniques as well as experience in validating data consistency, transformation logic, and end-to-end data workflows would also be a plus.
Skills And Abilities:
- Strong analytical skills with the ability to understand complex data flows and identify discrepancies or edge cases.
- High attention to detail and a commitment to delivering defect-free, production-quality solutions.
- Ability to write clear, comprehensive, and reproducible test cases and test plans.
- Proficiency in test case management and issue tracking tools (e.g., Azure DevOps, Atlassian JIRA).
- Good understanding of SQL for validating data accuracy and integrity across large datasets.
- Comfortable interpreting and testing dashboards and visualizations to ensure they reflect correct business logic.
- Familiarity with API testing tools like Postman, JMeter, etc for validating backend services.
- Ability to collaborate with cross-functional teams including developers, product owners, and business analysts.
- Strong communication skills for articulating bugs, quality risks, and status clearly to technical and non-technical stakeholders.
- Initiative-driven mindset with the ability to proactively identify quality improvements and process enhancements.
- Adaptability to changing priorities, requirements, and timelines in a fast-paced Agile environment.
- Good understanding of test automation principles and the ability to contribute to or maintain existing automation scripts.