Analytics / Data Engineer confirmé ou senior
Core
Design and industrialize data ingestion and transformation pipelines (batch and streaming) from diverse sources, model data in a data warehouse with semantic layers and KPIs, and translate business needs into data solutions.
Role type
Senior Data Engineer / Analytics Engineer
Builds
Data pipelines, data warehouse layers, semantic models, and advanced platforms for marketing mix modeling and AI use cases.
Domain
Marketing & Data Analytics on Google Cloud Platform
Deliverable
production ML models
Required skills
Advanced SQL, Advanced Python, dbt, Data Warehouse modeling, Cloud infrastructure (GCP), CI/CD, Docker, Infrastructure as Code
Preferred skills
Marketing Mix Modeling (MMM), Performance measurement
Technologies
GCP, dbt, Docker, Git
Responsibilities
Design and industrialize data ingestion and transformation pipelines, Model data in the data warehouse and maintain semantic layers with KPIs, Contribute to advanced platforms for marketing mix modeling and AI use cases, Translate business needs into data solutions, Scope project architecture and review code
Seniority
Senior, hands-on IC
