Data Engineer expérimenté(e)
Tasks
- Architect data pipelines
- Build ETL and ELT processes
- Build real-time data pipelines
- Create MLOps platforms
- Design cloud native scalable data architectures
- Develop machine learning algorithms for marketing optimization
- Ensure data quality and governance
- Integrate generative AI into data workflows
- Model data with dbt
- Optimize data costs
- Orchestrate workflows with Airflow
Perks/Benefits
Skills/Tech-stack
Airflow | Cloud Architecture | DBT | Data Governance | Data Quality | Databricks | Generative AI | Google BigQuery | MLOps | Machine Learning | Python | RAG | Real Time | Real-time Data | SQL | Snowflake
Education
N/A
Roles
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