Key skills
AirflowAWSAzureBigQueryFluxGoogle Cloud PlatformPythonSQLELTAnalyticsBISnowflakedbtGCPGoogle CloudGitCollaboration
About this role
Role Overview
- Analyze data access needs in collaboration with business users, data analysts and dataviz engineers
- Implement data pipelines and data models using modern data stacks (SQL, dbt, ELT tools, GCP/Azure/AWS/Snowflake, …)
- Expose data in BI and visualization tools
- Maintain pipelines and implement alerts & data quality tests
- Build a Customer Data Platform for a major retailer (8 brands / 30+ countries)
- Migrate a large dashboard infrastructure from a Supermetrics-based stack to an Adverity + BigQuery stack
- Implement end-to-end operational reporting tools for several high-growth startups
- Package internal tools for custom attribution
Requirements
- Graduate of a top business or engineering school, or equivalent
- 5 years of professional experience
- Strong proficiency in the following technologies/tools/environments:
- GCP / Microsoft Azure / AWS
- Snowflake
- Python & SQL
- Airflow / dbt
- Git
- Good analytical skills and experience managing an end-to-end analytics project
- Interest in working on data marketing challenges and in a consulting environment
- Languages: French / English
Tech Stack
- Airflow
- AWS
- Azure
- BigQuery
- Flux
- Google Cloud Platform
- Python
- SQL
Benefits
- Three-stage recruitment process including a case study