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aws snowflake sql python data modeling📋 Description
- Develop and maintain semantic data models for scalable analytics.
- Build automated data pipelines for ingesting, transforming, delivering data.
- Work with dbt Cloud for data transformation, testing, automation.
- Use notebooks for QC, exploratory analysis, and data validation.
- Translate business questions into analytics-ready datasets.
- Collaborate with analytics engineers, data engineers, developers, and stakeholders.
🎯 Requirements
- 1–3 years in analytics engineering, data engineering, BI, or software.
- Bachelor’s degree in CS/IS/Data Analytics/Engineering or equivalent.
- SQL for querying, transforming, and validating data.
- Python for scripting, analysis, and pipeline development.
- Hands-on with data modeling and analytics pipelines.
- Notebooks for analytics workflows; dbt Cloud experience a plus.
🎁 Benefits
- High-performance culture with accountability and collaboration.
- Discretionary time off with no maximum limits.
- Industry-leading health, vision, and dental benefits.
- Competitive compensation package.
- 16 weeks of fully paid parental leave.
- Flexible hybrid work arrangement.
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