Related skills
sql python databricks dbt airflow📋 Description
- Build, scale, and maintain robust data solutions.
- Develop high-performance data pipelines: ETL/ELT and orchestration.
- Champion CI/CD, IaC, containerization, and cloud-native deployments.
- Collaborate with stakeholders to turn use cases into production services.
- Implement testing and monitoring to ensure data quality and integrity.
🎯 Requirements
- Bachelor's degree in STEM required.
- 5+ years data engineering experience.
- Expert in Python and SQL; Databricks/PySpark proficient.
- Databricks/PySpark and dbt experience.
- Experience with Airflow or Dagster.
- Knowledge of ETL, data quality, and pipelines.
🎁 Benefits
- Equal Opportunity Employer.
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