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Data Engineering: Knowledge of SQL, relational databases (AWS RDS), and familiarity with data warehousing solutions like Snowflake and AWS Redshift. Tech Stack Expertise : Hands-on experience with Linux, containers (Kubernetes), serverless architectures, and programming skills in JavaScript, Node.js, React, and Flutter.
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En tant que lead tech data marketing automation, vous serez responsable de la conception, du développement et de la maintenance des solutions de data marketing et de marketing automation pour les parcs de loisirs de la compagnie des alpes.
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You may have experience in one of the following or a similar role: a business-focused Solution Architect or pre-sales engineer, Tech Leader, Product Manager, Big 6 Consultant, App Dev delivery, or a start-up Account Executive.
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Nous recherchons aujourd’hui notre futur Tech Lead (H/F) pour renforcer nos équipes en Ile de France. Vous êtes un(e) tech enthousiaste et vous avez une expérience confirmée autour du DevOps.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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En tant que Tech Lead, vous aurez pour mission de guider et superviser l'équipe de développement dans toutes les phases du cycle de vie des projets, de la conception à la maintenance, en mettant l'accent sur les technologies Angular et Node.js.
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Connaissance approfondie des technologies de data management et data engineering (ETL/ELT, DQM, portail de données, data préparation, data virtualization, data catalog, data lineage, BI). Expérience avec les outils suivants : Talend, DataBricks, Snowflake, DBT, Starburst, Tableau / Power BI / Looker.
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Veiller au respect de l’architecture globale des solutions dans l’ensemble de ses composantes (Data Engineering, Full Stack, Data Analyse, Data Science), ainsi que des bonnes pratiques. Vous disposez par ailleurs d’une forte connaissance des bonnes pratiques de software engineering : version-control, gitflow, CI/CD, clean-code pour accompagner l’industrialisation des solutions, ainsi que des outils de déploiement (Azure DevOps.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Diplômé·e d’études supérieures dans le système d’information, computer sciences, big data (école d’ingénieurs, école spécialisée ou équivalent universitaire), vous justifiez d’au moins 5 ans en Data engineering.
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Au sein d'Accor Tech, le/la Product Owner Onestream est responsable, d'un point de vue technologique, du cycle de vie complet des solutions EPM, se concentrant sur les applications de consolidation, de reporting et de contrôle de gestion.
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Knowledge of testing and validation within Hi-Tech engineering organisations. They are one of the world's leading companies in the design and manufacture of professional AV tech - this is your chance to join them as they continue to grow.
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Rattaché au Tech lead du projet, Tu seras responsable de l'implémentation des meilleures pratiques de développement logiciel, incluant l'utilisation de frameworks modernes, clean code, CI/CD, tests unitaires, et Azure DevOps.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with large-scale data engineering technologies (ClickHouse, Flink, Kafka, Hadoop, Spark, Hbase) Equativ Data Engineering team is engaged in an ambitious migration of its main data stack (Hadoop on-premise) to GCP with the objective to increase reporting features, lower maintenance time, improve performances and simplify the access to our raw data.
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The Incubateur HEC Paris is part of the HEC Paris Innovation and Entrepreneurship Institute and contributes to the vision of making HEC Paris the best ecosystem in Europe for innovators and entrepreneurs to solve the world’s challenges and its mission to reveal and continuously grow talents and companies to accelerate HEC Paris’ impact on business and society.
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PROJETS : SaaS – Recherche – contrôle documentaire - Innovation - Machine Learning - Data Science - Data Engineering - Annotation – International - Industrialisation - Scalabilité - Forte croissance sur le marché français, projet d’internationalisation.
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Sur les thématiques suivantes : Data Engineering, Modern BI & Analytics, Data Science/IA, Data Platform & Architecture. La possibilité de contribuer aux différents partenariats éditeurs de Aubay France (Microsoft, Snowflake, Databricks, dbt.
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hi tech engineering jobs in Paris, Idf, France
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