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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.
Work arrangement
No
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