Data Engineer
Tasks
- Build SQL based reporting and distribution components
- Create data visualizations and reports
- Design scalable data processing services
- Develop Hadoop Hive data pipelines
- Develop and deploy data processing services and algorithms
- Develop real-time bidding and optimization algorithms
- Implement streamed data processing
- Maintain 24 7 production data pipelines
- Support on call production services
Perks/Benefits
Skills/Tech-stack
AWS | Amazon EMR | Amazon Redshift | Bourne Shell | Cron | D3 | ETL | Go | Hadoop | Hive | Hive UDF | Java | Linux | MapReduce | MySQL | Oozie | PostgreSQL | Python | Ruby | SQL | Unix
Education
Roles
Regions
Countries
States
Cities
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