CS27 - Stage - BAC+5 - Data Engineering & Analytics – Produits Cloud (H/F)
Core
Build a consolidated data reference, automate data flows into a Data Lake, and create semantic layers and dashboards to track Cloud platform adoption, usage, and FinOps metrics.
Role type
Junior Data Engineer & Analytics Intern
Builds
Data Lake ingestion pipelines, Looker semantic models (LookML), and standardized reporting dashboards
Domain
Cloud Data & Analytics (GCP, Azure, AWS)
Deliverable
dashboards & analysis
Required skills
Data modeling, SQL, Data collection via APIs/SQL/exports, Data quality validation, Metric definition
Preferred skills
Python, Looker/LookML, Data Science concepts
Technologies
GCP, Azure, AWS, Kubernetes, Looker, Gitlab, SonarQube, Jira, Confluence
Responsibilities
Finalize business/technical/financial KPI inventory and definitions; Identify data sources and automate Data Lake ingestion; Design target data models and build Looker semantic layers; Develop dashboards to track product adoption, license usage, and consumption trends; Validate data quality and identify automation opportunities.
Seniority
Intern (BAC+5 / Master's level)