Data Engineer, Analytics
Menlo Park, CA | Remote, US
R
USD 191K-235K (estimate) Senior-level Full Time
Tasks
- Apply data mining techniques
- Define and measure product success metrics
- Design data warehousing solutions
- Develop product insights and recommendations
- Forecast and monitor key product metrics
- Improve logging data frameworks
- Model and implement data pipelines
- Optimize dashboards pipelines frameworks systems
- Partner with product and engineering teams on data visualizations
- Perform data integration using ETL patterns
- Query and process structured data
- Query and process unstructured data
- Run quantitative analysis and experimentation
- Summarize statistical data for product design
- Support product launches
- Triage and resolve data infrastructure issues
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Big Data | Clustering | Data Mining | Data Modeling | Data Pipelines | Data Warehousing | Data integration | Descriptive Statistics | Dimensional data | Dimensional data modeling | ETL | Experimentation | Inferential Statistics | MPP systems | MapReduce | Object-Oriented | Object-oriented programming | Pattern Recognition | Python | Regression | SQL | Schema Design | Statistical Analysis
Education
Roles
Regions
Countries
States
Cities
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