Sr. Data Engineer - US (Remote)
Tasks
- Balance freshness accuracy and cost
- Build streaming data pipelines
- Develop data models and transformations
- Implement data quality checks
- Implement streaming ingestion pipelines
- Improve data operations with AI tooling
- Lead high-impact data initiatives
- Maintain production data sets
- Operate data pipelines
- Set up monitoring and alerting
- Triage debug and resolve data quality issues
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Apache Airflow | Apache Kafka | Apache Spark | Apache Spark Streaming | Data Modeling | Data Processing | Data Quality | Data quality monitoring | Distributed data | Distributed data processing | Event Driven | Event-driven architecture | Iceberg | Kubernetes | Multi-tenant | Multi-tenant architecture | Node.js | Postgres | PySpark | Pydantic | Python | Quality monitoring | SQS | Spark Streaming | Tenant architecture | TypeScript
Education
N/A
Roles
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