Data Engineer
Tasks
- Analyze database structures and normalize data models
- Build and run ETL scripts and jobs
- Collect and structure raw data from multiple sources
- Create and run ETL scripts and jobs in Python R and PySpark
- Develop and optimize SAS programs and SQL procedures
- Discuss data issues with data owners to enable reliable analyses
- Document scripts and procedures
- Maintain and configure DWH platforms and tools
- Monitor data quality and detect anomalies
- Perform on-call duties
- Validate and optimize ETL scripts and jobs
Perks/Benefits
- Career growth
- Flexible work-life balance
- Free train travel
- Telework opportunities
- Training opportunities
- Wellbeing programs
Skills/Tech-stack
Data Modeling | Data Quality | Data Quality Management | Database normalization | ETL | Linux | Nifi | OpenShift | PySpark | Python | Quality management | R | SAS | SQL | SQL Optimization
Education
Roles
Regions
Countries
States
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