
Data Quality Assurance Specialist
1 week ago
We are undergoing a significant transformation to ensure accurate and consistent data availability.
Responsibilities- Develop and execute test scripts to validate data pipelines, transformations, and integrations.
- Maintain comprehensive test strategies, including smoke, performance, functional, and regression testing.
- Collaborate with development teams to assess changes in data workflows and update test cases.
- Design and run tests for data validation, storage, and retrieval using cloud-based services.
- Enhance automated tests as new features are developed, ensuring timely delivery per defined quality standards.
- Participate in data reconciliation and verify data quality frameworks to maintain accuracy and consistency.
- Share knowledge by collaborating with business analysts and technology teams.
- Communicate testing progress effectively with stakeholders.
- 3-6 years of QA experience with a strong focus on Big Data testing.
- Proficient in cloud-based services like Azure Data Factory and Synapse Analytics.
- Knowledge of SQL and PySpark is essential for data manipulation and transformation.
- Familiarity with Agile methodologies and defect management tools.
- Experience working on high-traffic software products is required.
- Analytical problem-solving skills are necessary to resolve complex issues.
- Proactive engagement, continuous improvement, and systematic approach are key qualities.
- Collaborative teamwork and agile adaptability are essential in this role.
This role involves working with a large-scale enterprise platform that requires precision and attention to detail.
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