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Cloud Data Engineer helping enterprise clients migrate to GCP, implementing full DevOps CI/CD pipelines, with hands-on work in containerization, Python, and API management.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
Davidson Consulting is seeking Backend Golang developers to design, develop, and maintain scalable web applications for a client in the audiovisual sector. The role involves collaborating with technical and Ops teams to optimize performance, manage incidents, and contribute to architectural decisions.
The Lead Java Developer will design, develop, and maintain high-quality software solutions while mentoring technical teams on best practices and architecture. The role focuses on the Java ecosystem and requires strong collaboration skills to support client projects.
This Data Engineer role involves modernizing a banking group's AWS Data Platform to support AI and generative AI initiatives. The consultant will focus on architecture, pipeline industrialization, and CI/CD processes within a large-scale data environment.
Développeur Backend Golang chez Davidson Consulting pour concevoir, déployer et maintenir des applications Web dans le secteur audiovisuel.
Cloud Data Engineer helping large clients migrate to Google Cloud Platform, building secure data pipelines, and implementing DevOps/CI/CD workflows using GCP, Python, and Kubernetes.
Senior Data Platform Engineer to modernize a bank’s AWS data platform, build pipelines, and enable generative AI solutions while ensuring security and scalability.
Build and maintain an AWS-based data lakehouse for a major French bank, designing pipelines to ingest and process customer and ESG data for AI use cases.
Senior AWS Data Platform Engineer builds and maintains a modern AWS-based data lake/lakehouse to power generative AI and customer/ESG analytics for a major bank.
Leads GCP cloud migrations and DevOps setup, designing secure data pipelines and cloud infrastructure for enterprise clients.
Build and maintain a modern AWS-based data lakehouse and ETL pipelines for a large bank using PySpark, Java, and cloud-native tooling.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Build and maintain a cloud-scale data lake and ETL pipelines on AWS for a major bank’s AI and analytics platform using PySpark and Java.
Build and maintain scalable ETL/ELT pipelines on GCP and BigQuery using dbt; collaborate with analytics and marketing teams to industrialize data processes.
You design and maintain CI/CD pipelines, automate Linux and cloud deployments with Ansible, and keep services stable and performant for Davidson’s clients.
Lead Python Developer & Tech Lead at a Rennes-based dev-consultancy driving software quality, defining features, and mentoring teams with Python frameworks.
Lead a Java team to design, refactor, and migrate cloud-based infrastructure solutions while enforcing code quality and best practices.
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