Data Engineer
USD 119K-179K Senior-level Full Time
Tasks
- Adapt notebooks and reports to meet requirements
- Build and optimize big data pipelines
- Clean and prepare geospatial data
- Clean and prepare time series data
- Create analysis-ready data
- Create documentation and training materials
- Create reproducible analytics with notebooks
- Develop interactive data visualizations
- Enable data driven decision analysis products
- Present reports and findings to stakeholders
- Process datasets for ETL pipelines
- Provide analytic consulting services
- Query and optimize distributed data systems
- Run and operate CHEETAS tools
- Support analytic workflow and product testing
- Troubleshoot issues in closed networks
Perks/Benefits
- N/A
Skills/Tech-stack
Accumulo | Agile | Apache Hadoop | Apache Spark | Dash | Data Mining | Data Visualization | Design Patterns | Docker | ETL | Functional Programming | Geospatial Data | HBase | Hadoop Hive | Hive | JanusGraph | Jupyter Notebooks | Linux | MS SQL | MS SQL Server | Machine Learning | Modeling and Simulation | MongoDB | Neo4j | Object-Oriented | Object-oriented programming | Operations Research | PyShiny | Python | R | R Shiny | RMarkdown | SQL | SQL Server | Software Design | Software Design Patterns | Statistical Analysis | Time Series | Trino | VMware | Windows
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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