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# Data Developer Aws H/F

- **Company:** Eur
- **Location:** Inconnu, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Business Systems, Cloud Database, Encodings, Continuous Integration, Information Engineering, Data Infrastructure, Amazon DynamoDB, Python (Programming Language), Knowledge Management, Microsoft SharePoint, Amazon Simple Notification Service (SNS), Software Engineering, SQL Databases, Systems Integration, Data Ingestion, Snowflake, AWS Lambda, Indexer, Git, Amazon Relational Database Service, Data Lakes, Data Analytics, AWS Data Analytics, Data Management, Data Delivery, Api Design, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Serverless Computing, Docker
- **Published:** September 29, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/83854863.html

## About the Role

Development: Python, Terraform, Git / CI-CD practices, Shell/bash, API development and integration

 - AWS main services: Amazon S3, AWS Lambda, SNS/SQS, DynamoDB, Amazon RDS, Lake Formation, Step Function
 - Data & Analytics: Snowflake, SQL, Data modeling, Data pipeline development, Data Lake architecture concepts
 - Containerization: Docker / ECR
 - Experience with enterprise AI solutions and document ingestion pipelines
 - GenAI & Search: Amazon Bedrock, OpenSearch, Knowledge Bases / RAG concepts, Embedding and vector search concepts
 - Language: Expert level in English, Profile wanted5+ years of experience in data engineering or cloud data developmentAble to work autonomously in an international environmentStrong analytical and problem-solving skills and proactivityCapabilities to document and enrich team knowledge

Mais aussi...

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 2. Able to work autonomously in an international environment
 3. Strong analytical and problem-solving skills and proactivity
 4. Capabilities to document and enrich team knowledge

## Description

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.

Missions

 - 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.


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