Related skills
aws sql tableau dbt data modeling📋 Description
- Design, build, and maintain scalable data models in Amazon Redshift for reporting.
- Develop, maintain, and optimize data pipelines delivering clean data to business users.
- Collaborate with data engineering and BI teams to expand analytics warehouse architecture.
- Establish standards for schema design, data lineage, and naming conventions.
- Translate business requirements into scalable data solutions with stakeholders.
- Monitor data quality, implement testing and validation for warehouse reliability.
🎯 Requirements
- 2–4+ years in Analytics Engineering, Data Engineering, BI, Analytics, or Data Science.
- Strong SQL skills to build efficient, scalable queries and data models.
- Hands-on with cloud data warehouses, preferably AWS and Amazon Redshift.
- Translate reporting requirements into data architecture solutions; stakeholder collaboration.
- Experience with dbt and version-controlled SQL workflows.
- Familiarity with BI tools like AWS QuickSight, Tableau, Omni.
🎁 Benefits
- 100% remote work from anywhere.
- Competitive USD salary.
- Paid time off to rest and recharge.
- Autonomy to manage your time and deliver results.
- Work with U.S. companies on high-impact projects.
- Global team across 25+ countries.
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