Business Intelligence Engineer
Tasks
- Build data pipelines for data warehouses
- Conduct pair programming
- Create reusable data frameworks and patterns
- Design data architectures and data flows
- Develop and optimize metadata driven ELT
- Develop and optimize metadata driven ETL
- Implement Data Mesh solutions
- Implement data lakehouse models
- Integrate emerging data technologies
- Perform code reviews
- Share best practices with team
Perks/Benefits
- Additional time off Fridays
- Conferences and courses
- Flexible work model
- Hybrid work option
- Intensive work hours
- Paid training
- Remote work option
- Telework support
Skills/Tech-stack
AWS Glue | Agile | Amazon Redshift | Apache Airflow | Apache Iceberg | Azure Data | Azure Data Factory | CI/CD | DBT | DLT | Data Factory | Data Lakehouse | Data Observability | Data Quality | Data Vault | Data Warehouse | Data mesh | DataOps | Databricks | Dataflow | Dataproc | Deep learning | Dimensional Modeling | ELT | ETL | Google BigQuery | Inmon | Kimball | MLOps | Machine Learning | Microsoft Fabric | Python | SQL | Snowflake | Test automation | Version control
Education
N/A
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