Principal, Data Analytics and Engineering
Long Island City, NY, United States
USD 165K-200K (estimate) Senior-level Full Time
Tasks
- Architect AtScale semantic layer
- Architect enterprise data ecosystem
- Automate data quality
- Build batch and streaming ingestion frameworks
- Build profile stitching and segmentation workflows
- Build scalable data platforms
- Conduct design reviews
- Develop data pipelines with Workato
- Enable trusted enterprise reporting
- Engineer ML ready datasets
- Implement CI/CD pipelines
- Influence platform roadmaps
- Integrate data enrichment workflows with Bridg
- Lead Snowflake schema design
- Maintain data lineage and metadata
- Mentor data engineering teams
- Operationalize model scoring pipelines
- Optimize Tableau data sources
- Own Amperity CDP identity resolution
- Set up monitoring logging testing
- Troubleshoot pipeline issues
- Tune Snowflake performance
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amperity | AtScale | BRIDG | Batch Processing | CI/CD | Cloud platform | Data Modeling | Data Quality | Data Vault | Dimensional Modeling | Feature Engineering | Google Cloud | Google Cloud Platform | Logging | Machine Learning | Monitoring | Python | SQL | Snowflake | Streaming Data | Tableau | Testing | Third Normal Form | Workato
Education
Regions
Countries
States
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