Pyspark Bigdata
Tasks
- Apply architecture and testing best practices
- Build and deploy PySpark pipelines
- Communicate status and risks to stakeholders
- Design data solutions in big data
- Develop and test software across SDLC
- Escalate issues as appropriate
- Monitor production quality and reduce defects
- Research and recommend technology improvements
Perks/Benefits
- N/A
Skills/Tech-stack
Architecture | Big Data | Data Engineering | Data pipeline | Development Life Cycle | PySpark | Python | Software Development Life Cycle | Software development | Testing
Education
N/A
Roles
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