Data Engineer
Miami, Florida, United States
R
USD 115K-140K (estimate) Mid-level Full Time
Tasks
- Build and maintain Azure data lake storage design and lifecycle policies
- Build and maintain data pipelines with Azure Data Factory
- Collaborate with analytics teams on data ingestion requirements
- Design data models and schemas in PostgreSQL
- Design reliable data architecture for analytics reporting
- Document data flows lineage and pipeline logic
- Implement data quality checks, monitoring, and alerting
- Manage deployment security and environment configuration
- Monitor database health and resource utilization
- Optimize query performance and troubleshoot bottlenecks
- Own database backup recovery and disaster recovery procedures
- Perform ETL ELT ingestion transformation and loading
- Standardize and templatize data structures and pipeline patterns
Perks/Benefits
- 401k match
- Dog-friendly office
- Employee product discounts
- Flexible paid pregnancy and parental leave
- Generous paid time off
- Health benefits
- Learning and development
- Remote work option
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage | Data Modeling | Denormalization | ELT | ETL | Normalization | PostgreSQL | Python | SQL | Star Schema | Synapse Analytics | Version control
Education
N/A
Roles
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