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sql databricks pyspark llmsπ Description
- Own metrics publishing quality across data teams.
- Partner cross-functionally with Data, Engineering, and Product.
- Define requirements and drive adoption of best practices.
- Improve and scale data platform workflows from ingestion to delivery.
- Leverage AI tools to enhance workflows and data quality.
- Lead Metrics & Feeds initiatives on the Public Investor team.
π― Requirements
- 2β4 years in product management, analytics, data, or related field.
- Strong data fluency: SQL, Databricks, PySpark.
- Cross-functional with Eng/Data teams; agile lifecycle.
- Enjoy solving ambiguous problems and building structure.
- Care about data quality, consistency, scalability.
- Comfortable with AI tools (LLMs, prompt engineering).
π Benefits
- Flexible work hours and vacation policy.
- Generous 401K match, parental leave.
- Team events, wellness budget, learning reimbursement.
- Equity included and a competitive compensation package.
- Growth opportunities and ownership culture.
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