Accelerator - Data & AI Engineering - Paris
Tasks
- Automate data ingestion and monitoring
- Build ETL processes and machine learning workflows
- Collaborate with cross functional teams to define interface contracts
- Design end-to-end data pipelines
- Develop data models for query performance
- Ensure data quality standardization observability governance
- Implement pipeline orchestration
- Integrate CI CD and container deployments
- Maintain pipeline health and troubleshoot issues
- Transform raw data into insights
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | CI/CD | DBT | Data Modeling | Datadog | Docker | ELT | ETL | Git | GitHub Actions | Grafana | Infrastructure as Code | Kubernetes | Machine Learning | OpenShift | Python | SQL | Snowflake | Terraform | “as-code”
Education
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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