Related skills
snowflake python databricks apache airflow etl/elt📋 Description
- Deliver Airflow solutions with Astronomer; engage customers and partners post-sale.
- Act as trusted advisor; design and develop data pipelines across environments.
- Engage with the Apache Airflow project and open-source community.
- Maintain expertise; stay current with Airflow releases and features.
- Educate customers on Airflow best practices; perform refactoring assessments.
- Collaborate to design, prototype, and implement engineering solutions.
🎯 Requirements
- 3-5 years of data-engineering experience with Airflow in production.
- Experience creating DAGs, Python, and Airflow operators/hooks.
- ETL/ELT pipelines experience; data transformations, optimization, monitoring.
- Experience with Databricks, Snowflake, DBT, and cloud platforms (AWS/Azure/Google Cloud).
- Empathetic, driven and team-oriented.
- Strong prioritization and ability to execute on customer-facing activities.
🎁 Benefits
- Production ETL/ELT using Modern Data Stack.
- Experience building and maintaining CI/CD pipelines.
- Experience with short and long-term customer engagements.
- Experience with Docker and Kubernetes.
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