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Connaissance des plateformes Cloud (AWS, GCP, Azure) et de leurs services de gestion des données (S3, BigQuery, Redshift. Migrer l’ensemble des bases de données on-premise vers une solution de gestion de données dans le Cloud (Azure, AWS, Google Cloud Platform.
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Cloud & DevOps (AWS, GCP, MS Azure, Kubernetes, Docker, Ansible, Terraform, Jenkins, Puppet, Chef, Packer, Gitlab, YAML, Python. Microsoft Certified : Azure Solutions Architect. Cloud & DevOps (AWS, GCP, MS Azure, Kubernetes, Docker, Ansible, Terraform, Jenkins, Puppet, Chef, Packer, Gitlab, YAML, Python.
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Hands-on experience with cloud infrastructure tools (AWS, EC2, S3, Lambda, Data Engineering) Frontend: Javascript & Vue. JS. Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ among others.
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Demonstrated hands-on expertise in HR Reporting, Data Integration and Data Management, including: HCM (SAP/SF, Workday, Oracle) Reporting modules, Data Integration tools and platforms (such as Informatica, AWS, Azure, Power Platform), and data programming tools, SQL/MS Access, Python, SAS, R.
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I nfrastructure Knowledge : Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code (e.g., Terraform, Ansible) I nfrastructure Knowledge : Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code (e.g., Terraform, Ansible.
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Cloud Platforms: AWS (SageMaker, Redshift), Google Cloud Platform. Experience with deep learning frameworks (TensorFlow, PyTorch) and big data tools (Spark, Hadoop) is highly desirable. Algorithm Optimization: Implement and optimize machine learning algorithms (e.g., deep learning, ensemble methods) to enhance the performance and scalability of predictive models.
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Dans l’idéal, maîtrise du Cloud AWS : EC2, RDS, ECS, ECR, AMI, VPC, Security Group, EBS, CloudWatch, Waf. Éventuellement maîtrise d’un autre cloud et envie de basculer sur AWS. - Assurer le support expert sur l’ensemble des aspects Cloud AWS et DevOps.
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Environnements : ITIL/ITSM, services cloud (OVH, AWS ou Azure) Superviser l’utilisation des outils essentiels à la R&D tels que GitLab, Blackduck, JIRA, Confluence, SQUASH, NEXUS, HARBOR, et les chaînes CI/CD associées.
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Cloud (AWS, Azure, GCP), Devops (Terraform, GIT, Ansible, Jenkins, CI/CD), Docker, Kubernetes. Cloud (AWS, Azure, GCP) : bonne connaissances, expériences et certifications. Vous avez idéalement une ou plusieurs certifications (Azure, AWS.
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You will play a pivotal role in crafting ASIC firmware tailored for top-notch A/D and D/A data conversion ICs. This will include Engaging closely with the micro-controller architect and project technical leaders to define Firmware Architecture whilst thriving in a dynamic team environment to drive the successful design of cutting-edge ASICs.
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Une connaissance des outils Data des Cloud Providers publiques (Google Cloud Platform, Microsoft Azure, AWS, Concevoir et mettre en place des systèmes de données résilients et sécurisés (data warehouse, data lake, systèmes temps-réels.
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Avoir une certification (AWS Cloud Practitioner, PSPO, PMI, CSPO) Avoir une certification (AWS Cloud Practitioner, PSPO, PMI, CSPO) Enfin, soucieux des écosystèmes et du bien-être de ses collaborateurs et collaboratrices, Lùkla s'engage pour faire de son entreprise un lieu éco-responsable et d'épanouissement.
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Infra / Cloud : AWS, Azure, GCP, Openshift, Terraform. Infra / Cloud : AWS, Azure, GCP, Openshift, Terraform. DevOps : Docker, Kubernetes, Ansible, GitLabCI. Nous intervenons autour de 5 expertises pour de multiples clients, DSI et PME , sur différents domaines d’activités : mutuelle, banque, transport, télécom, énergie.
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Environnement Technique : Git, Python, Terraform, Ansible, Kubernetes, Vault, Grafana, Prometheus, Kafka, ElasticSearch et AWS. En tant que Lead DevOps AWS, vous jouerez un rôle essentiel dans la gestion et l'optimisation de notre infrastructure cloud sur AWS.
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Linux, Python, Ansible, Terraform, Git, Gitlab, AWS, GCP et bien + Bonne connaissance des fournisseurs de Cloud : IaaS, PaaS et SaaS (AWS / Azure ou Google) Linux, Python, Ansible, Terraform, Git, Gitlab, AWS, GCP et bien.
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