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 setting 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.

📌 Azure/Snowflake QA (Maharashtra)
🏢 Zensar Technologies
📍 Maharashtra