Architecte de données Databricks

il y a 15 heures


Paris, Île-de-France KOMEET TECHNOLOGIES Temps plein
Résumé du poste
Vous êtes un expert en technologies Databricks et vous recherchez un nouveau défi ? Komeet Technologies vous offre l'occasion d'intégrer son équipe comme Architecte de données Databricks. Dans ce rôle, vous travaillerez étroitement avec nos clients pour concevoir et mettre en œuvre des solutions performantes et innovantes sur la plateforme Databricks.

Description du poste
En tant qu'Architecte de données Databricks, vous serez responsable de l'animation des ateliers afin d'étudier et cadrer les besoins clients en collaboration avec le Data Platform Architect. Vous analysez, conseillez et faites des recommandations pour améliorer l'efficacité et l'efficience de la solution Databricks chez votre client. Vous préconisez, conçoitez et mettez en œuvre le LakeHouse Databricks, rédigez des dossiers d'architecture et spécifications techniques, mettez en œuvre des stratégies d'exploitation de la plateforme Databricks, mis en œuvre des flux d'intégration (en batch ou streaming) de données structurées/non structurées et volumineuses. Vous effectuez des tests, des validations et des documentations des développements, réalisez des audits et des projets d'optimisation.

Nos choix technologiques
Nous avons choisi Talend, Databricks, Snowflake, DBT, Starburst, Tableau / Power BI / Looker, AWS, Azure et GCP pour répondre aux besoins de nos clients.

Profil requis
Pour ce poste, nous recherchons un profil expérimenté dans le domaine des technologies Databricks. Vous devez avoir une expérience significative sur Databricks (+4 ans), maîtriser au minimum un langage de programmation appliqué à l'analyse de données (Spark, Python, Java) et posséder une bonne expérience sur au moins un des Cloud Providers principaux (AWS, Azure, GCP) et les services Data associés. Vous devez également avoir de bonnes compétences dans l'architecture des systèmes, bases de données, méthodologies d'analyse, maîtriser les fondamentaux DevOps (CI/CD) et avoir au moins une expérience dans ce domaine. De plus, vous devez maîtriser la mise en place de pipeline et l'orchestration des workflows dans Databricks, être sensible à la Business Intelligence, au Big Data et au Machine Learning, autonome et savoir travailler en équipe notamment dans des contextes Scrum/Agile. Une certification Databricks Certified Data Engineer Associate est un atout.

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