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Data Infrastructure:
- Build robust data pipelines processing high-volume datasets for AI-driven solutions.
- Optimize ETL processes using Python, PySpark, and SQL on cloud data platforms.
Technical Leadership:
- Guide technical direction and architecture for data integration.
- Mentor engineers and drive engineering excellence across teams.
Platform Impact:
- Improve customer onboarding and platform scalability.
- Develop automation and tools to enhance operational efficiency.
Culture and Growth:
- Collaborate in a remote-first, inclusive environment.
- Access professional development budget and equity opportunities.
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