Engineer, Data Platform & Analytics
Miami, FL, United States
USD 82K-125K (estimate) Senior-level Full Time
Tasks
- Build and maintain ELT/ETL pipelines
- Build deduplication and survivorship logic
- Define data contracts with AI ML engineers
- Design Snowflake data architecture
- Develop dbt models tests and documentation
- Enforce data governance and access controls
- Implement data quality monitoring
- Implement master data management
- Integrate new data sources into Snowflake
- Lead incident response for platform issues
- Maintain data catalog and data lineage
- Maintain runbooks and operational playbooks
- Model entities and manage golden records
- Monitor pipeline health and data freshness
- Optimize Snowflake cost and query performance
- Prepare curated data for AI and ML consumption
Perks/Benefits
- 401k match
- Employee Discounts on Cruises
- Employee assistance program
- Health, dental, vision insurance
- On-site fitness center
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
API Integration | AWS S3 | Access Control | DBT | Data Catalog | Data Classification | Data Governance | Data Lineage | Data Management | Data Quality | Data masking | Data orchestration | ELT | ETL | File Integration | Horizon Data Governance | Informatica Data Governance | Informatica MDM | Informatica PowerCenter | MDM | Master Data | Master Data Management | Performance Tuning | Python | Query Performance Tuning | Query performance | SQL | Snowflake | Warehouse sizing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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