DutiesandResponsibilities:

- Designandcompletedetailed teststrategies,plans,andcasestovalidate complexdataintegrationsandfunctionalitiesacrosssystemslikeDatabricks, Cosmos DB, and Azure Pipelines.
- Perform sophisticated exploratory and functional testing to detect data quality issues and ensure consistency and accuracy across platforms.
- Partner with software engineers, data architects, and business collaborators to clarify requirements and implement robust testing frameworks.
- Be responsible for the defect management process, including logging, tracking, prioritizing, and validating defect resolutions.
- Conduct in-depth regression testing to ensure fixes and updates do not introduce new issues.
- Develop and maintain detailed documentation, including testing procedures, results, and quality metrics for collaborator reporting.
- Lead process improvement initiatives, driving enhancements in QA methodologies and tools for data analytics and integration.
- Stay abreast of industry standards and emerging technologies in quality assurance, specifically for data environments.
- Mentor and guide junior QA team members, fostering a culture of continuous learning and quality excellence.

QualificationsandRequirements:





- Bachelors degree in Computer Science, Information Technology, or related field, or equivalent professional experience.
- Provenexperience(6to9years)inQAroles,preferablywithafocusondatasystemsandplatformslikeDatabricks,CosmosDB,andAzure Pipelines.
- Expert-level understanding of QA processes, methodologies, and tools, with a solid focus on data environments.
- Demonstrates strong analytical and problem-solving abilities, paying close attention to detail and taking initiative to address issues.
- Exceptional communication and collaboration skills, capable of effectively interacting with technical and non-technical partners.
- Experience with test automation and scripting for data systems is a plus.
- Ability to lead multiple complex projects and prioritize tasks in a rapid-paced, dynamic environment.
- Demonstrated ability to drive process improvements and influence standard methodologies for quality assurance at an organizational level.
- ThisroleisidealforaseasonedQAprofessionallookingtomakeasignificantimpactondatasystemqualityandcontributetothecontinuousevolutionofour technology solutions.

📌 Senior QA Engineer (Bengaluru)
🏢 Ferguson
📍 Bengaluru