Azure/Snowflake QA

Job description

Quality Assurance Engineer We are seeking a Quality Assurance Engineer with strong technical skills to join our global development team and work on next-generation middle office product offerings. This role is responsible for an automation-first quality assurance approach for data-driven platforms built on SQL Server, Azure cloud services, ADF pipelines, and Snowflake. The ideal candidate will thrive in a highly collaborative Agile environment and will be a self-starter who is always looking to optimize existing practices through new technologies, patterns, and processes. Responsibilities • Collaborate closely with business analysts, developers, and QA team members to analyze requirements, identify test scenarios, and define test strategies. • Design, execute, and maintain manual and automated test cases for complex, data-intensive applications. • Conduct functional, regression, integration, and system testing to ensure compliance with cloud and data workloads. • Perform database testing to validate data integrity, transformations, stored procedures, triggers, and business rules. • Test Azure-based services and integrations, including APIs, messaging systems, and data pipelines. • Contribute to the existing automation framework using Python, Selenium, Cucumber, and ReadyAPI. • Support CI/CD pipeline testing, validating builds, deployments, and environment configurations. • Participate in Agile (Scrum) processes throughout the SDLC to ensure delivery of high-quality software solutions. • Collaborate with developers and data engineers to identify defects early, improve test coverage, and establish performance baselines. • Participate in design reviews, test case reviews, and sprint ceremonies; provide QA status updates and risk assessments to stakeholders. • Share knowledge and contribute to QA process improvements, automation frameworks, and best practices. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience. • Hands-on experience testing SQL Server-based systems and complex data models. • Experience testing applications and integrations deployed in Azure cloud environments. • Strong understanding of data testing principles, including transformations, reconciliations, and edge-case validation. • Experience testing APIs and system integrations. • Exposure to test automation concepts and tools. • Familiarity with Agile/Scrum development methodologies. • Strong analytical, problem-solving, and communication skills. Preferred Qualifications • Experience testing Snowflake data platforms. • Experience with CI/CD pipelines and Azure Data Factory (ADF). • Experience with automated testing frameworks for data or API validation, preferably using DBT and Python-based frameworks. • Performance or volume testing experience for data-intensive applications. • Experience working in large-scale, enterprise, or regulated environments.