Data Engineer - Data Architecture (dbt)
Tasks
- Apply Kimball Data Vault and medallion modeling
- Build scalable analytical models
- Conduct code reviews and pair programming
- Create reusable dbt macros models and patterns
- Design data architectures and data flows
- Develop and optimize ELT data transformation with dbt
- Implement data testing documentation and pipeline automation
- Optimize Snowflake data structures and partitioning
- Orchestrate data pipelines with Apache Airflow
Perks/Benefits
- Conference access
- Flexible working hours
- Friday reduced workload
- Hybrid work
- Intensive work schedule
- Official certification support
- Relocation support
- Remote work
- Telework expense support
- Training support
Skills/Tech-stack
AWS Dataflow | AWS Glue | Apache Airflow | Artificial Intelligence | CI/CD | Code review | DBT | Data Lakehouse | Data Observability | Data Quality | Data Vault | Data Warehouse | Data Warehouse Modeling | Data mesh | DataOps | Databricks | Dataproc | ELT | Kimball Modeling | ML pipelines | MLOps | Maching learning | Medallion Architecture | Microsoft Fabric | Pair Programming | Snowflake | Testing Automation | Warehouse modeling
Education
Roles
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