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bigquery looker snowflake sql python📋 Description
- Architect, optimize, and transform DBT-based data models for flexible analysis.
- Design data validations to ensure data integrity across pipelines.
- Establish end-to-end data pipeline transparency with upstream/downstream tools.
- Advance tooling and automation to reduce time spent on data issues.
- Apply software engineering practices like version control and CI for analytics code.
- Collaborate with Data Engineers/Analysts/Finance to model features and forecast revenue.
🎯 Requirements
- 4+ years as analytics engineer, data analyst, or data engineer.
- Write complex SQL and ad-hoc data pipelines; use Python for analysis.
- DBT data modeling with validation, macros, and materialization.
- Proven track record improving data warehouse architecture.
- Comfort with event tracking data and funnels/user paths.
- Experience scaling a data platform while balancing costs.
🎁 Benefits
- Remote US or Manhattan, NY office.
- Unlimited vacation policy.
- Tech stipend: $4k every 2 years.
- WFH stipend: $500/year.
- Full health benefits.
- 401K with company match.
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