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Main Responsibilities:
Technical Skills:
DATA/AI Culture
• Solid general knowledge in DATA and Artificial Intelligence (Machine Learning, MLOps, GenAI, LLMs)
• Understanding of data governance, quality, and lineage challenges
• Ability to connect business use cases with technical DATA/AI solutions
GCP Cloud Expertise
• Complete mastery of the GCP platform (APIs, CLI)
• Infra/compute/storage services (GCE, GKE, Cloud Storage, Cloud SQL, App Engine)
• Resource management and IAM
• Serverless and PaaS solutions
• Cloud security
Data & Big Data
• Design of data lakes and data warehouses
• Data modeling (star/snowflake schema)
• Processing tools (Spark, Spark Streaming, Hive, Databricks, Dataflow)
• Data transfer solutions (Informatica, Talend, Nifi, Kafka, Event Hub, Data Factory, Pub/Sub)
Infrastructure & DevOps
• Openstack, Kubernetes/Openshift, Starburst infrastructures
• Infrastructure as Code (Terraform, Ansible, Helm)
• CI/CD processes
• MLOps and scripting languages
Additional Skills:
• Knowledge of AWS or Azure (a plus)
• Successful experience in Cloud migration
• Ability to quickly gain skills on new platforms and technologies (e.g., Rakuten or equivalents)
Behavioral Skills:
• Excellent communication skills (French/English)
• Technical leadership and ability to lead topics independently
• Intellectual curiosity and motivation to explore new technological horizons
• Adaptability to changing and diverse technical environments
• Proactivity and innovation
• Ability to work in a team and in a multicultural context
• Agile methodology
• Pedagogy and service orientation
You'll no longer be considered for this role and your application will be removed from the employer's inbox.