Description of Tasks
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Ensuring the quality and reliability of data technologies within the Data Tower
Tasks:
• Analysis of requirements and technical dependencies for data technologies, including databases, data processing frameworks, and Kubernetes-based operators.
• Review of design and implementation details to define appropriate test strategies.
• Creation of component-level and integration-level test designs.
• Execution of manual tests where automation is not feasible.
Implementation and maintaining of automated testing for Kubernetes-based data services
Tasks:
• Development of automated test suites for data technologies such as Spark, MongoDB, and Data Catalog.
• Integration of automated tests into CI/CD pipelines for continuous validation.
• Maintaining and updating automation scripts to ensure compatibility with evolving platform components.
Contribution to the overall QA strategy for the hybrid data platform
Tasks:
• Coordination with QA engineering to manage cross-component dependencies.
• Participating in QA scope estimation, planning, and prioritization if necessary for the delivery of service.
• Performing regression testing and provide release quality approvals.
• Identification and documentation of quality risks, ensuring they are addressed before deployment.
Objective: Enabling for higher quality work
Tasks:
• Coordination with development and PO to increase awareness about quality
• Enabling other stakeholders for contribution into quality products
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Requirements
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Profile Requirements
The contractor must be a senior level in test design and tests automation with experience in:
Must-have experience, are mandatory and must be listed in the projects!
• Experience and deep understanding of different types (functional, regression, security, availability, etc) and levels (component, integration, e2e) of testing, in test design and reporting
• Experience with data technologies (Spark, MongoDB, PostgreSQL, Kafka, etc),
• Experience within API testing and pytest
• Working experience with CI/CD
• Experience in implementation and the improvement of QA process on a project from scratch
• Good understanding of K8s (containers/docker, helm),
• Strong user experience with Jira, Confluence, test management software,
• Experience in ambiguity, complex and fast changing large scale projects
• Experience in abstracting relevant information and communicating to different stakeholders
• Experience in enabling development for higher quality work
Must-have language skills:
• Fluent English in speech and writing (at least C1)
Preferred experience
• Experience with test automation framework implementation/adjustment
• Experience with TestRail
• Experience with infrastructure platform projects
• Experience with GCP, Azure, AWS public clouds
• Familiarity with DevOps principles, CI/CD pipelines, infrastructure automation |
Contact Person
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Project:
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Daniela Hammer
Phone:
+49 (0) 6227 30 907 - 60
Fax: +49 (0) 6227 30 907 - 99
eMail: dh [at] duragis [dot] de
| Project:
19143
Place
Frankfurt / Remote ca. 50:50
Start:
01.10.2025
Duration:
31.12.2025 |
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