Senior Data Engineer
Tasks
- Advise on data modernization and migration
- Architect data platforms on Azure
- Build and optimize storage layers
- Collaborate on data models and integration
- Collaborate with BI teams for data models
- Define data engineering best practices
- Develop CI/CD pipelines with Azure DevOps
- Develop data pipelines with Azure Data Factory, Synapse Pipelines, Azure Batch
- Document solutions and follow Agile practices
- Drive cloud cost strategies
- Ensure data quality and lineage with Azure Purview
- Evaluate Azure tools
- Implement data transformation (ETL/ELT)
- Lead design reviews
- Manage data security and compliance
- Mentor junior engineers
- Monitor and optimize pipeline performance and costs
- Thought leadership on Azure data topics
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- FSA
- Flexible hours
- Holidays
- Life insurance
- Medical insurance
- Paid parental leave
- Professional development
- Profit sharing
- Remote work
- Staff development hours
- Variable compensation
- Vision insurance
- Work-life balance
Skills/Tech-stack
Azure | Azure Batch | Azure DevOps | Azure Monitor | Azure Purview | Cloud Native | Cloud native design | Cost Management | Data Factory | Data Migration | Data Modeling | Data Security | ELT | ETL | Performance Tuning | Power BI | Python | SQL | Spark | Synapse
Education
N/A
Roles
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