Data Engineer
Miami, Florida, United States
R
USD 135K-155K (estimate) Mid-level Full Time
Tasks
- Build ETL/ELT workflows
- Build data lake on Azure
- Design data pipelines
- Document data lineage and pipeline logic
- Implement data quality checks and alerting
- Maintain PostgreSQL schemas and indexes
- Manage database backups recovery and disaster recovery
- Manage deployment security and environment configuration
- Monitor database health and query performance
- Standardize data structures and ingestion patterns
- Troubleshoot pipeline failures and bottlenecks
Perks/Benefits
- 401k matching
- Dog-friendly office
- Employee discounts
- Health benefits
- Learning and development
- Paid Holidays
- Paid time off
- Parental leave
- Remote work flexibility
- Sick & Wellness Days
- Wellness programming
Skills/Tech-stack
Access Control | Azure Containers | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Resource | Azure Resource Management | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage | Data Modeling | Database performance | Database performance tuning | Denormalization | Disaster Recovery | ELT | ETL | Indexing | Infrastructure as Code | Normalization | Partitioning | Performance Tuning | PostgreSQL | Python | Query Optimization | Resource Management | SQL | Star Schema | Synapse Analytics | Version control | “as-code”
Education
N/A
Roles
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