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aws sql rdbms python spark📋 Description
- Deliver complex data platform components or migration solutions independently
- Troubleshoot performance, scalability, and reliability issues
- Contribute to solution design and engineering standards
- Communicate technical topics clearly to peers and stakeholders
- Produce high-quality documentation and implementation reviews
🎯 Requirements
- Strong experience building scalable cloud-native data platforms and pipelines
- Advanced knowledge of modern data lake/lakehouse practices
- Hands-on experience with distributed processing (Spark/PySpark or equivalent)
- Experience with streaming or event-driven ingestion patterns
- Python with solid engineering principles (OOP, testing)
- Strong expertise in relational databases and schema design
🎁 Benefits
- 100% remote work
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
- State of the art laptop and tools
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