Senior Data Engineer
Tasks
- Build Power BI semantic models and reports
- Build data transformation and orchestration pipelines
- Design data platform architectures
- Develop ELT frameworks
- Develop data ingestion pipelines
- Ensure data governance and security
- Gather requirements
- Implement CI/CD pipelines
- Implement Lakehouse and Warehouse models
- Integrate Azure and Snowflake services
- Mentor junior engineers
- Optimize data platform performance
Perks/Benefits
- 401k
- Employee assistance program
- Health savings account
- Life insurance
- Long-term disability
- Medical/Dental/Vision
- Paid time off
- Short-term disability
- Transportation benefits
Skills/Tech-stack
Access Control | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | CSV | Copy command | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Modeling | Data Quality | Data Sharing | DevOps | Dimensional Modeling | Dynamic Tables | ELT | ETL | Git | JSON | Lakehouse | Medallion Architecture | Microsoft Fabric | OneLake | Parquet | Power BI | Python | SQL | Snowflake | Snowpipe | Streams | Synapse Analytics | Synapse Pipelines | Tasks | Virtual Warehouses | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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