Senior Data Engineer
Tasks
- Architect data platform evolution
- Build data models for data science and troubleshooting
- Build streaming ingestion and event processing
- Collaborate with analytics and data science teams
- Design data infrastructure and applications
- Develop real time analytics for portal metrics
- Eliminate data latency bottlenecks
- Implement engineering standards and best practices
- Optimize data storage partitioning and retrieval
Perks/Benefits
- Annual company offsites
- Birthday leave
- Dog-friendly office
- Employee assistance program
- Equity or stock options
- Parental leave
- Wellness leave
Skills/Tech-stack
AWS | Airflow | Amazon Athena | Amazon EC2 | Amazon S3 | Apache Flink | CI/CD | ClickHouse | Dagster | Data Modeling | Data Partitioning | Docker | Event Driven | Event-driven architecture | Feature Engineering | Java | Kafka | Kafka Connect | Kubernetes | Machine Learning | Machine Learning MLOps | Model Monitoring | Pulumi | Python | SQL | Scala | Schema Design
Education
N/A
Roles
Regions
Countries
States
Cities
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