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Tasks:
• Development of a test strategy and QA framework in a data (platform) environment, tool selection and subsequent implementation
• Conceptualisation, development and implementation of manual and automated tests to increase the quality of data products
• Integration of automation frameworks and tools
• Setting up processes and tools for the generation, use and documentation of test data
• Communication with the stakeholders
• Support with the implementation of a data quality framework
• Adherence to best practices and standards

Requirements:
• Very good knowledge in QA, testing and test architecture, all in the special environment of data and analytics
• Good knowledge of test automation tools and frameworks in the field of data (such as Selenium, Apache JMeter, Tosca, Query Surge)
• Good knowledge of SQL, PL/SQL, ETL/ELT
• Practical experience in testing data solutions (such as data lake, DWH, big data, BI and reporting)
• Experience with Snowflake or BigQuery is an advantage
• Knowledge of data visualisation tools such as PowerBI, Tableau, Looker is an advantage

Advantages:
• International environment

Duration: 3 MM+

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