Senior Data Engineer
Richmond, Virginia, United States
USD 152K-195K (estimate) Senior-level Full Time
Tasks
- Build distributed data processing solutions
- Design data models for enterprise data warehouses
- Design scalable batch data pipelines
- Design scalable real-time data pipelines
- Develop real time event driven streaming applications
- Establish engineering best practices for code testing deployment monitoring data quality
- Implement data solutions on cloud platforms
- Lead technical design reviews provide guidance
- Optimize data pipelines performance scalability reliability cost
- Use cloud data platforms for analytics
Perks/Benefits
Skills/Tech-stack
AWS | Amazon EMR | Amazon Redshift | Azure | Cloud Architecture | Cloud platform | Data Modeling | Data Pipelines | Data Warehousing | Databricks | Distributed Computing | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Hadoop | Kafka | MapReduce | Python | Real Time | Real-time Data | SQL | Snowflake | Spark | Streaming
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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