Senior Data Engineer
Tasks
- Bridge engineering and analytics
- Build CI CD pipelines for infrastructure changes
- Build self-healing data pipelines
- Build semantic layers
- Create feedback loops between systems and analytics
- Define data infrastructure roadmap
- Design secure data access models
- Enable real-time analytics
- Evolve Snowflake warehouse
- Implement monitoring for early issue detection
- Improve pipeline reliability
- Optimize Snowflake spend
- Own optimize data platform
- Produce documentation for extension
- Reduce query redundancy
- Roll out data testing frameworks
- Standardize data models
- Tune pipeline cost performance
Perks/Benefits
Skills/Tech-stack
Airflow | Amazon Redshift | BigQuery | CI/CD | Clustering | Cost Optimization | DBT | Data Modeling | Data Monitoring | Data Quality | Data Warehousing | ELT | ETL | Feature Store | Lifecycle Management | ML Infrastructure | Performance Tuning | Python | Real Time | Real-time analytics | SQL | Semantic layer | Snowflake | Streaming
Education
N/A
Roles
Regions
Countries
States
Cities
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