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aws sql python dbt data modeling📋 Description
- Design, build, and maintain scalable Redshift data models for reporting.
- Develop and optimize data pipelines delivering clean data to users.
- Collaborate with data engineering to scale the data warehouse.
- Enforce standards for schema design, naming, and data lineage.
- Support BI platforms with analytics-ready datasets and dashboards.
- Monitor data quality with testing, alerting, and validation to ensure reliability.
🎯 Requirements
- 2–4+ years of experience in Analytics Engineering, Data Engineering, BI, Analytics, or Data Science.
- Strong SQL expertise with scalable, well-structured queries and data models.
- Hands-on experience with cloud data warehouses, preferably AWS and Amazon Redshift.
- Proficiency with dbt and version-controlled SQL transformation workflows.
- Familiarity with BI tools such as AWS QuickSight, Tableau, Omni, or similar analytics platforms.
- Python experience for data pipelines, automation, or data engineering workflows is a strong plus.
🎁 Benefits
- 100% remote work from anywhere.
- Competitive USD pay.
- Paid time off.
- Autonomy to manage your time.
- Work with top American companies.
- Global, diverse network across 25+ countries.
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