Azure/Snowflake QA

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.