Design and build a scalable data platform for laboratory and research data to integrate instruments, databases, and analytics. Develop and operate automated data pipelines, including ETL/ELT, and ensure compliance with FAIR principles for analytics and machine learning applications. Candidates must possess solid software engineering experience with Python and SQL, alongside familiarity with containers, APIs, and the integration of lab instruments using standards such as OPC UA.
(KI generierte Zusammenfassung)
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