Data Modelist

You will play a crucial role in designing and implementing data models that enable our client to store and manage large-scale infrastructure configurations efficiently.- MissionAs a Data Modelist, you will:

- Data Model Design: create and maintain data models that accurately represent the infrastructure configurations of our customers;
- Customer Understanding: gain a deep understanding of customer requirements and challenges related to data storage and retrieval;
- Data Optimization: develop strategies for optimizing data storage and retrieval processes to ensure scalability and performance;
- Database Management: work with databases, including SQL and NoSQL, to implement data models effectively.
- Data Integration: collaborate with cross-functional teams to integrate data models into our infrastructure management solutions;
- Quality Assurance: ensure data accuracy, consistency, and security across all models;
- Documentation: create clear and comprehensive documentation for data models and their usage;
- Continuous Improvement: stay up-to-date with industry best practices and emerging technologies in data modelling and management;
- GitLab collaboration: collaborate with development teams using GitLab for version control and code management.
- Competences techniques- You have proven experience in designing and implementing data models;
- You are customer-Centric with the ability to capture customer insights and translate them into effective data models;
- You are proficient in working with databases, including SQL and NoSQL;
- You have experience optimizing data storage and retrieval processes for large-scale systems;
- You have strong ability to work with Linux;
- Competences generales- You are curious and have a passion for discovering relevant facts to serve customers better;
- You have strong documentation skills to create clear and comprehensive documentation;
- You have excellent communication and interpersonal skills;
- You are a team player with the ability to collaborate effectively with cross-functional teams.
- Langues- English (fluent)