Archiviertes Projekt - 75% Remote: Data QA Engineer (m/w/d)

We are currently looking for a Data QA Engineer (m/w/d) for our client in the energy sector.

Start: asap
Duration: 31.12.2024 with option to extend
Capacity: 100%
Location: 75% remote, 25% Berlin
Language: English (must), German (nice to have)

Role description:
The role of dedicated QA engineer in the Data tower within the project is crucial for increasing level of maturity for provided Data services. The QA engineer contributes to bring Data technologies user experience to the new stage by ensuring its high quality, smooth maintenance and carefree allowing to focus just on usage them.
We are looking for a talented and dedicated QA Engineer to join our team, who will work close with the software engineers and product owner focusing on the testing of K8s operators for data technologies with a focus on testing on different levels and tests automation.
In this role, you will be responsible for test design, manual execution, and test automation for K8s operators that enable the efficient deployment, scaling, and management of data-related services and technologies within our Kubernetes infrastructure. You will be an important contributor to the overall EDP QA strategy implementation.

The individual must be a middle to senior level in test design and tests automation with a proven skills and experience with Data technologies, API testing, pytest.
- Commercial experience in testing and tests automation for large scale projects,
- Experience in IT/testing,
- Deep understanding of software development lifecycle, agile and scrum methodologies,
- Experience with tests automation,
- Familiarity with DevOps principles, CI/CD pipelines, infrastructure automation,
- Experience in establishing QA process on a project from scratch, QA best practices implementation
- Exceptional problem solving and troubleshooting skills,
- Strong communication and collaboration skills.

Must-have-Skills:
- Strong experience in requirements analysis, test planning and test design, test reporting,
- Deep understanding of different types (functional, regression, security, availability, etc) and levels (component, integration, e2e) of testing,
- Experience with data technologies (PostgreSQL, Kafka, etc),
- API testing experience,
- Working experience with GitLab, understanding of CI/CD,
- Good understanding of K8s (containers/docker, helm),
- Strong user experience with Jira, Confluence, test management software,
- Ability to understand complex systems, abstract relevant information and communicate accordingly,
- Agile knowledge

Nice-to-have skills:
- Good experience with pytest,
- Experience with test automation framework implementation/adjustment,
- Experience with TestRail,
- Experience with infrastructure platform projects,
- Experience with GCP, Azure, AWS public clouds.