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Develops AI-driven solutions for classification, decision-making, and document processing (OCR/parsing) with Python and GCP, including POCs and industrialization.
Junior Data & AI/DevOps Engineer on a freelance mission, automating infrastructure and CI/CD pipelines for Data and AI solutions using Kubernetes, Docker, Terraform, Ansible, and cloud platforms (Azure/AWS).
An SRE/DevSecOps engineer who designs infrastructure, manages incident response, and optimizes data workflows while ensuring security and monitoring are embedded from the start.
Senior Full-Stack Engineer owning features end-to-end on a Java backend and TypeScript/Angular frontend for Soda Cloud, a data quality SaaS platform, working with MySQL and ClickHouse.
Dormont Manufacturing Co recherche un Data Scientist / Machine Learning Engineer passionné pour travailler sur des projets complexes en data science et machine learning. Vous intégrerez une équipe spécialisée et…
Talan est un groupe international de conseil et d’expertises technologiques qui accélère la transformation de ses clients par les leviers de l'innovation, la technologie et la data Depuis plus de 20 ans, Talan…
Build and maintain global data pipelines and integrations for a logistics leader using Python, SQL, Kafka, Airflow, and Azure, ensuring data quality and security across international teams.
Design and operate data pipelines using a modern stack (Airflow, AWS/Azure) to support SaaS products, collaborating closely with Data Scientists in a hybrid environment.
Senior Data Engineer specialized in Dataiku at a Paris-based consulting firm, working on client missions involving data needs analysis, data processing and visualization, POCs, and solution benchmarking using Dataiku, Python, SQL, Big Data tools, and cloud ML platforms.
A Senior Data Engineer/Data Analyst at an international consulting firm in Paris, working on technical data projects—analyzing business needs, defining data collection methods, and applying data processing techniques using Dataiku, Python, R, and DevOps tools.
Builds and optimizes data pipelines (ingestion, processing, storage, and exposure) using Databricks/Spark, collaborating with teams to solve technical challenges while ensuring scalability and maintainability.
Data Engineer consultant on Databricks projects: running technical workshops, designing and implementing data solutions, optimizing Spark jobs, and managing ETL/ELT pipelines for client digital transformations.
Senior Data Engineer (Snowflake) at Keyrus France, a consulting firm. Day-to-day involves designing Cloud Data Platforms on AWS/Azure/GCP, implementing Snowflake architectures, building ETL/ELT pipelines, data modeling, and advising clients. Core tech: Snowflake, SQL, dbt/Talend/Informatica.
Design and implement CI/CD pipelines for data and digital projects using Scala, Java, Python, Spark, and cloud platforms like GCP/AWS/Azure.
Cloud Data Engineer at a consulting firm designing and implementing Azure-based data platforms, integration pipelines (batch and real-time), and optimizing data flows for client projects.
Lead Databricks/Spark engineer responsible for configuring data lakes, optimizing pipelines, and training clients on cloud data solutions. Core focus: Spark, Databricks, and distributed data architectures.
Big Data Engineer at Keyrus France building data pipelines and CI/CD processes using Scala, Spark, and cloud platforms (GCP, AWS, Azure) for client consulting projects.
Lead the backend architecture and data layer for a platform that contextualizes and supervises intelligent agents, transforming a prototype into a production-ready system for pilot clients.
Data Engineer building and maintaining secure, scalable data pipelines for insurance and banking clients, using ETL tools, relational/NoSQL databases, and DataOps practices.
Builds and optimizes scalable data platforms, automates data processes, and leads a team to ensure data quality and governance using Python, SQL, Spark, Airflow, and Snowflake.
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