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Medium due to generalist SDET skillset and mid-tier employer attracting applicants.
Medium because automation and SQL skills transfer broadly, but CDP and data-pipeline experience narrows fit.
Medium because specific automation, SQL, and API testing skills are required though no explicit years.
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Ensure robustness, reliability, and accuracy of data pipelines, APIs, and services within an Enterprise Customer Data Platform.
Build and extend automation frameworks and test tools, including validation of complex datasets and big data workflows.
Guarantee data quality and system performance meet enterprise-grade standards.
Proficiency in Python for automation frameworks and test tool development.
Strong SQL skills to write and optimize complex queries for large dataset validation.
Experience in REST API testing using Postman and pytest automation frameworks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in testing within distributed microservices and event-driven architectures.
Familiar with version control (Git) and CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
Comfortable working in office-based teams with collaboration tools like Jira, Confluence, and Agile workflows.