CDILyon, France
Data Developer AWS
Hybride
We are looking for an experienced Data Developer to strengthen our Data Delivery & Operations team and contribute to the development, enhancement, and support of our AWS Data platforms.
Knowledge of Snowflake would be a plus for additional activities.
The ideal candidate combines strong software engineering practices with hands-on experience in modern cloud data platforms and AI-enablement technologies. Snowflake skills is a plus for
Key Responsibilities
• Design, develop, and maintain data ingestion and transformation pipelines.
• Build and support solutions on our AWS-based Data Lake platform.
• Contribute to the GenAI Data Platform by developing data collection, processing, indexing, and knowledge management capabilities.
• Implement integrations with enterprise data sources such as SharePoint, Snowflake, and other business systems.
• Develop and maintain serverless and event-driven components.
• Participate in platform optimization, monitoring, troubleshooting, and operational support.
• Work closely with data architects, platform engineers, AI specialists, and business teams.
Profile
• 5+ years of experience in data engineering or cloud data development.
• Able to work autonomously in an international environment.
• Strong analytical and problem-solving skills and proactivity
• Capabilities to document, enrich team knowledge
• Capabilities to document, enrich team knowledge
Informations de la mission :
Knowledge of Snowflake would be a plus for additional activities.
The ideal candidate combines strong software engineering practices with hands-on experience in modern cloud data platforms and AI-enablement technologies. Snowflake skills is a plus for
Key Responsibilities
• Design, develop, and maintain data ingestion and transformation pipelines.
• Build and support solutions on our AWS-based Data Lake platform.
• Contribute to the GenAI Data Platform by developing data collection, processing, indexing, and knowledge management capabilities.
• Implement integrations with enterprise data sources such as SharePoint, Snowflake, and other business systems.
• Develop and maintain serverless and event-driven components.
• Participate in platform optimization, monitoring, troubleshooting, and operational support.
• Work closely with data architects, platform engineers, AI specialists, and business teams.
Profile
• 5+ years of experience in data engineering or cloud data development.
• Able to work autonomously in an international environment.
• Strong analytical and problem-solving skills and proactivity
• Capabilities to document, enrich team knowledge
• Capabilities to document, enrich team knowledge
Informations de la mission :
- Début de mission : 05/10/2026
- Durée : 6 mois
- Date de publication : 28/09/2026
- Date limite de candidature : 01/10/2026
Compétences recherchées
Snowflake (Indispensable)AWS (Indispensable)Amazon S3 (Indispensable)AWS Lambda (Indispensable)SNS (Indispensable)SQS (Indispensable)DynamoDB (Indispensable)Amazon RDS (Indispensable)Lake Formation (Indispensable)Step Function (Indispensable)Python (Indispensable)Terraform (Indispensable)Git (Indispensable)CI-CD (Indispensable)Shell/bash (Indispensable)API development (Indispensable)Docker (Indispensable)ECR (Indispensable)Amazon Bedrock (Indispensable)OpenSearch (Indispensable)GenAI (Indispensable)RAG (Indispensable)embeddings (Indispensable)vector search (Indispensable)Data Lake (Indispensable)Data pipeline (Indispensable)SQL (Indispensable)Anglais (Indispensable)Development (Python (Apprécié)Git / CI-CD practices (Apprécié)API development and integration) (Apprécié)AWS main services (Amazon S3 (Apprécié)SNS/SQS (Apprécié)Step Function) (Indispensable)Data & Analytics (Snowflake (Apprécié)Data modeling (Apprécié)Data pipeline development (Apprécié)Data Lake architecture concepts) (Indispensable)Docker / ECR (Apprécié)Experience with enterprise AI solutions and document ingestion pipelines (Apprécié)GenAI & Search (Amazon Bedrock (Apprécié)Knowledge Bases / RAG concepts (Apprécié)Embedding and vector search concepts) (Apprécié)
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