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engineering en environnement cloud\n▪ Première expérience sur des projets IA/ML ou GenAI appréciée (pipelines RAG, feature engineering)\n▪ Maîtrise des bonnes pratiques de développement : Git, tests, code reproductible\n▪ Rigueur sur la qualité, la sécurité et la traçabilité des données\n▪ Capacité à collaborer avec les data scientists et les équipes plateformes\nTechnologies utilisées :\nPython · SQL · Spark / PySpark · Databricks · Airflow · Kafka · Cloud (Azure, AWS, GCP) · Snowflake / BigQuery · Bases vectorielles · Delta Lake / Lakehouse · dbt · Git · 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