About the role
Implement Apache Airflow in a manner that follows best practices and allows continued growth.
- •As a Solutions Engineer
- •Data Engineering, you will be part of the Global Services Delivery Team and will be involved in the delivery of the various use cases in which Airflow is implemented across our customers.
- •Key Responsibilities Maintain and continuously improve your technical expertise.
- •You will become a trusted expert in both Airflow and Astronomer’s managed Airflow Platform.
- •Work with customers to educate and guide them regarding Airflow best practices.
- •Collaborate with team members to design, prototype, and implement engineering solutions for internal and external use.
- •Requirements 3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments Experience creating DAGs, writing Python, and building Airflow custom operators and hooks Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations, optimizing and monitoring data pipelines
Tech stack
AirflowPythondbtDatabricksSnowflakeAWSAzureGoogle Cloud
Match insights
Tech:Airflow, Python, dbt, Databricks, Snowflake
Level:Mid