Modern Data Engineer
Tasks
- Build data warehouse models
- Build proof of concept
- Create data lakehouse solutions
- Create data mesh solutions
- Create reusable data frameworks
- Create reusable data patterns
- Design data architectures
- Design data flows
- Develop ELT processes
- Develop ETL processes
- Optimize metadata driven pipelines
- Perform code reviews
- Perform pair programming
Perks/Benefits
- Access to official certifications
- Conferences and courses access
- Fridays off
- Hybrid work option
- Intensive work schedule July and August
- Professional training budget
- Remote work option
- Telework support
Skills/Tech-stack
AWS Glue | Apache Airflow | Apache Iceberg | Azure Data | Azure Data Factory | CI/CD | DBT | DLT | Data Factory | Data Lakehouse | Data Modeling | Data Observability | Data Quality | Data Vault | Data Warehouse | Data Warehousing | Data mesh | DataOps | Databricks | Dataflow | Dataproc | Dimensional Modeling | ELT | ETL | Inmon Method | Kimball Method | MLOps | Machine Learning | Microsoft Fabric | Partitioning | Version control
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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