Our focus is on Data & Analytics. We need to define a testing strategy for our data landscape (Data Lakehouse / DWH) and establish a QA awareness across the whole product family
Design and implement test strategies and derive initiatives and processes with the goal to continuously improve the quality of our data & insights products with a long-term perspective
Design, develop, and execute both manual and automated tests to validate data integrity, performance, and reliability
Drive the test automation for our data platforms: integrate automation frameworks and tools, creation of automated test cases together with the team, as well as setting up processes and tools for the generation, usage and documentation of test data
Communicate QA progress, issues, and results to stakeholders, including project managers, developers, and management
Support in the implementation of a Data Quality Framework with DQIs and DQ Gates - Use modern technologies, such as e.g. ML / AI in order to detect anomalies, automatize manual work, etc.
Ensure adherence to industry standards and best practices in data testing and quality assurance
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