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aws sql python tableau dbt📋 Description
- Design, build, maintain scalable data models in Amazon Redshift to support reporting, dashboards, and ad hoc analysis.
- Collaborate with data engineering to optimize the analytics warehouse.
- Establish standards for schema design, naming conventions, and data lineage.
- Develop, maintain, and optimize data pipelines for clean, reliable data.
- Partner with stakeholders to translate business needs into scalable data solutions.
- Create and maintain data documentation, metrics, and transformation logic.
🎯 Requirements
- 2–4+ years in Analytics Engineering, Data Engineering, or BI.
- Strong SQL expertise with scalable queries and data models.
- Hands-on with cloud data warehouses, preferably AWS and Redshift.
- Ability to translate reporting requirements into data architecture solutions.
- Experience with dbt and version-controlled SQL workflows.
- Strong data modeling concepts: dimensional modeling, star/snowflake, SCD.
🎁 Benefits
- 100% Remote Work: work from anywhere with reliable internet.
- Paid Time Off: unwind and recharge.
- Autonomy: manage your time to deliver results.
- Work with Top American Companies: high-impact projects.
- Diverse, Global Network: professionals across 25+ countries.
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