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Dans le cadre d’un projet de développement d’applications web innovantes, nous recherchons un Développeur Full Stack Senior disposant d’au moins 8 années d’expérience. Le consultant interviendra sur la conception et le…
Onyx-Conseil recherche un Lead Développeur Full Stack Java expérimenté pour piloter une équipe sur une application Cloud Native dédiée aux services de paiement et d'authentification. Vous travaillerez dans une…
Basée à Lille, Lyon, Nantes, Grenoble, Marseille, Paris et Bruxelles, Insitoo Freelances est une société du groupe Insitoo, spécialisée dans le placement et le sourcing des Freelances IT et Métier. Depuis 2007, Insitoo…
Contexte : Autour du progiciel de trade operation, il y a des développements spécifiques Java, Angular-React, PLSQL, ainsi que des outils de paramétrages (EAI ITX, modules de courriers FBTI…). Nous recherchons un…
Développeur Backend Python/Django Localisation : Bordeaux Contexte : Intégration à la squad Réseaux ( une vingtaine de personnes ) en charge du développement, de la mise en production et de la maintenance des API et…
Onyx-Conseil recherche un Développeur Backend Python/Django pour rejoindre la squad Réseaux à Bordeaux. Vous contribuerez au développement, à la fiabilisation et à la mise en production des API d'automatisation en…
A Senior Fullstack Developer works on Weezevent’s Gigz CRM & marketing platform for event organizers, developing backend (Python/Django) and frontend (React) features, maintaining the production app, mentoring juniors, and influencing technical architecture.
Develops robust web applications and APIs as a Full Stack Developer using C#/.NET for backend, Angular/React for frontend, and integrates with AWS and AI services like ChatBot and RAG.
As a V.I.E. Software Engineer based in Miami, you will develop and scale Pelico's AI-native platform while supporting U.S. client deployments. You will work with technologies like Python, JavaScript, and cloud services to build impactful software solutions for industrial operations.
Supports developers through pair-programming and mentorship using Java, Spring Boot, and front-end frameworks like Angular and React.
Full-Stack .NET Core Developer building microservices and migrating a legacy PHP system to a containerized .NET Core/Kubernetes/Linux architecture for a banking group.
Transforms raw data into reliable, documented analytical assets by designing data models, building ETL/ELT pipelines with dbt/Dataform/Airflow, and ensuring data quality/governance in cloud environments (Snowflake, BigQuery, Redshift, Azure Synapse).
Full-stack .NET Core developer building and evolving microservices, interfacing with existing PHP components, and managing CI/CD deployments in a hybrid setup at Crédit Agricole Île-de-France.
Staff Engineer acting as the CTO's technical right-hand in a scale-up, hands-on with Python, Terraform, and Cloud, focused on data pipeline architecture, performance, technical standards, and technical debt reduction without direct management.
Data Scientist develops AI and NLP solutions, works on international projects, and contributes to R&D roadmaps for nuclear and technological businesses. Core technologies include Python, generative AI, and cloud environments.
Data Engineer/Tech Lead position working on a Datalake for an air transport company, focusing on data ingestion, enrichment, and platform evolution using Java, Apache Spark, and GCP technologies.
Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
Lead the data engineering team to build and evolve a BI and AI data platform. Define architecture and security standards, pilot robust pipelines, and support Paprec Group's data transformation.
Designs, builds, and automates data pipelines for banking clients on Google Cloud Platform, ensuring scalable, high-quality data processing with Spark, Kafka, and BigQuery.
Senior Data Engineer designing, developing, and operating end-to-end data pipelines (ETL/ELT) using distributed computing tools like Spark/Flink, SQL, and workflow orchestrators (Airflow/Dagster) to ingest, transform, and deliver reliable datasets for BI, Data Science, and ML.
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