Lead Data Engineer, Data Engineering
Tasks
- Analyze high-dimensional data
- Analyze transaction data
- Apply metrics benchmarking
- Build prototypes
- Collect feedback from stakeholders
- Create unified data view
- Deliver data solutions
- Develop data unification
- Develop proof of concepts
- Generate actionable recommendations
- Generate insights
- Integrate new data assets
- Manipulate high-volume data
- Partner with product management and data science
- Perform data aggregation
- Perform data ingestion
- Perform data processing
- Synthesize feedback for enhancements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache NiFi | Azure Data | Azure Data Factory | Cloudera | Cloudera AI | Cloudera Data Engineering | Data Analysis | Data Engineering | Data Factory | Data Mining | Data Modeling | Data Visualization | Databricks | ELT | ETL | Graph Databases | Hadoop | Impala | Machine Learning | NumPy | Pandas | Pentaho | PySpark | Python | SQL | Talend
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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