Data Mesh & Lakehouse Engineer
Tasks
- Apply dimensional modeling and data vault modeling
- Build reusable data frameworks patterns and accelerators
- Collaborate on data governance and data quality practices
- Design data architectures and data flows
- Develop and optimize metadata driven etl and elt pipelines
- Implement lakehouse and data mesh solutions
- Integrate and evaluate emerging data architecture technologies
- Review designs with pair programming and code reviews
- Transform raw data into analytics ready structures in data warehouses
Perks/Benefits
- Conference access
- Hybrid work options
- Intensive summer schedule
- Official certifications support
- Paid training
- Remote work options
- Work from home stipend
Skills/Tech-stack
AWS Glue | Agile | Apache Airflow | Apache Iceberg | Azure Data | Azure Data Factory | Azure Dataflow | CI/CD | Cloud Dataproc | Code review | DBT | DLT | Data Factory | Data Lakehouse | Data Modeling | Data Observability | Data Quality | Data Vault | Data Warehousing | Data mesh | DataOps | Databases | Databricks | Dimensional Modeling | ELT | ETL | Google Cloud | Google Cloud Dataproc | Inmon | Kimball | MLOps | Machine Learning | Machine Learning Pipelines | Metadata Driven | Metadata driven pipelines | Microsoft Fabric | Pair Programming | Version control
Education
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