KERING Data Engineer
Tasks
- Collaborate with product and business stakeholders
- Design data products
- Develop and maintain data products
- Implement data transformation tests and documentation
- Maintain legacy data pipelines
- Migrate data pipelines to cloud
- Model data for business needs
- Participate in agile delivery rituals
- Resolve data incidents
- Review code and document solutions
- Set up data quality monitoring and observability
- Use AI assisted tools to accelerate development
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | BigQuery | CI/CD | Change Management | Cloud Storage | Composer | Confluence | DBT | Data Lake | Data Modeling | Data Monitoring | Data Products | Data Quality | Data Warehouse | Data integration | Data mesh | Data orchestration | Dataflow | ELT | ETL | ITIL | Incident Management | Infrastructure as Code | Jira | OLAP | OLTP | Observability | Problem Management | Python | SQL | Testing | “as-code”
Education
Roles
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