PySpark Data Engineer (ID: 3887)
Tasks
- Build data processing workflows
- Debug data workflows
- Design data pipelines
- Develop data pipelines
- Ensure Data reliability
- Ensure data performance
- Ensure data quality
- Integrate data from multiple sources
- Maintain data pipelines
- Optimize data processing workflows
- Optimize data workflows
- Orchestrate workflows
- Schedule data pipelines
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Airflow | Big Data | Data Engineering | Databricks | PySpark | Python
Education
N/A
Roles
Regions
Countries
States
Cities
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