Related skills
aws sql python gcp dbt📋 Description
- Design, build, and maintain scalable data pipelines.
- Implement data quality checks and governance practices.
- Develop and optimize dbt models for analytics.
- Troubleshoot data issues in production environments.
- Ensure data platforms support analytics and AI initiatives.
- Collaborate with analysts to ensure data accessibility.
🎯 Requirements
- 7+ years in data engineering with modern data stack tools.
- Advanced SQL and Python for data engineering tasks.
- Strong data modeling and warehousing fundamentals.
- Experience with orchestration tools like mage.ai or Airflow, dbt, ELT tools such as Fivetran or Airbyte.
- Cloud platforms such as GCP, AWS, or Azure.
- End to end production data pipelines experience.
🎁 Benefits
- Work from home remotely.
- 25 paid vacation days.
- Health insurance with travel and dental.
- Meal allowance of 150€ plus flexible plan.
- Home office setup allowance.
- Spanish language classes.
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