Quality Assurance (QA) Engineer in the ConSite Mine Plus PoV team will act as a subject matter expert (SME) in driving and contributing to quality engineering efforts across the ConSite Mine Plus consolidated analytics platform. This role is responsible for ensuring the reliability, performance, and usability of the platform as well as the platform meets high quality standards that align with customer expectations. Working closely with development teams, product managers, and business stakeholders to understand, define, and uphold the quality benchmarks required, this role will define and execute quality assurance strategies to validate complex data workflows, analytics dashboards, and reporting features (including, but not limited to) across the platform to deliver an exceptional user experience to end-users. In close collaboration with engineering teams, the QA Engineer will also take a proactive approach to continuously improve and lead quality engineering practices within the team. This is a great opportunity for someone who thrives in a fast-paced, collaborative environment and is passionate about data-driven solutions.

Key Deliverables and Responsibilities

• Act as the quality assurance subject matter expert (SME) within the Consite Mine Plus PoV team.
• Collaborate with platform engineers, data engineers and scientists, product managers, and business stakeholders to define and maintain quality standards.
• 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 including functional, integration, regression, and performance tests.
• Drive automation initiatives to support continuous integration and delivery (CI/CD) pipelines.
• Promote a quality-first mindset and lead the adoption of QA best practices across the team.
• Monitor, track, and report on software quality metrics.
• Documented quality standards and testing guidelines for the Consite Mine Plus platform.
• Continuous improvements to QA processes and tooling based on retrospectives and feedback.
• Participate in sprint planning, design reviews, and code reviews to ensure quality is considered throughout the development lifecycle.
• Risk assessments and mitigation plans related to product quality.

Experience and Knowledge

• Bachelor or higher degree in Computer Science, or an equivalent qualification.
• Strong prior exposure to software QA methodologies, tools, and processes across the SDLC.
• Hands-on experience in quality assurance for data platforms, analytics applications, or enterprise software across both functional as well as non-functional scenarios.
• 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.
• Experience in carrying out load and performance tests to validate platform performance.
• 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.

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 test automation principles and the ability to contribute to or maintain existing automation scripts.
• 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.
• Adaptability to changing priorities, requirements, and timelines in a fast-paced Agile environment.