Building FAIR-compliant data workflows and robust ETL/ELT pipelines to create high-quality, analysis-ready datasets for analytics and machine learning * Strong experience in designing end-to-end data pipelines and data flow architectures as well as solid knowledge of distributed systems, cloud platforms (e.g. AWS), data architectures (e.g. data lakes, warehouses, event-driven systems), ETL/ELT frameworks, orchestration tools (e.g. Airflow) and Python programming * Knowledge of regulatory and data compliance requirements (e.g. GxP, ISO, GDPR) with the ability to translate them into practical data solutions; experience in regulated environments is a plus - Working in an innovative and international environmentwith a broad learning and development landscape in our EMEA Campus, after-work events for internal networking
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