Data Operations Engineer
Washington, District of Columbia, United States
A USD 100K-140K (estimate) Mid-level Full Time
Tasks
- Analyze data workflows for reliability
- Analyze data workflows for timeliness
- Communicate stakeholder data errors
- Document data pipelines
- Handle production support tickets
- Implement process enhancements via code
- Improve workflow reliability
- Improve workflow timeliness
- Maintain data pipelines
- Monitor data pipelines
- Onboard new products into production processes
- Optimize data pipeline performance
- Support data pipeline consumers
- Troubleshoot data pipeline defects
- Update workflows using Git
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Hadoop | Apache Hive | Apache Spark | Avro | CI/CD | Cloud platform | Data Visualization | Git | Google Cloud | Google Cloud Platform | HDFS | HiveQL | JSON | Linux | Microsoft Azure | ORC | Parquet | PySpark | Python | SQL | Scala | Shell Scripting | Tableau | Version control | XML
Education
Regions
Countries
States
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