Manager, Data Engineering
Work At Home-New York, United States
USD 83K-222K Mid-level Full Time
Tasks
- Apply statistical analysis for quality metrics
- Build ETL/ELT processes
- Conduct code reviews and enforce coding standards
- Deploy forecasting models using time series machine learning MLOps
- Design scalable data pipelines
- Develop data models data warehouses data lakes
- Document data pipelines schemas and engineering standards
- Implement data quality checks and monitoring
- Integrate data from multiple sources
- Optimize query performance
- Support data governance, security, and compliance
- Troubleshoot data pipeline and system issues
Perks/Benefits
- Dental coverage
- Medical coverage
- Paid time off
- Retirement savings options
- Vision coverage
- Wellness programs
Skills/Tech-stack
ARIMA | AWS | Azure | BI | Best practices | Data Governance | Data Lake | Data Modeling | Data Monitoring | Data Pipelines | Data Quality | Data Warehouse | Deep learning | Dimensional Modeling | ELT | ETL | Error Handling | GCP | Gradient boosting | Healthcare Data | Java | Looker | MLOps | Machine Learning | Metadata Management | Power BI | Prophet | Python | Query Optimization | SQL | Scala | Security best practices | Series modeling | Tableau | Time Series | Time Series Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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