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aws snowflake python kubernetes databricks📋 Description
- Deliver Airflow solutions and Astronomer guidance to customers.
- Architect data pipelines across varied environments and use cases.
- Engage with Apache Airflow project and open-source community.
- Collaborate with teams to design, prototype, and implement solutions.
- Act as trusted advisor to ensure successful Airflow implementation post-sales.
- Maintain expertise on latest Airflow releases and features.
🎯 Requirements
- 3-5 years data-engineering experience with Airflow in production
- Experience creating DAGs, Python, and custom operators/hooks
- ETL/ELT pipelines design, data transformations, monitoring
- Experience with Cloudera, Databricks, Snowflake, DBT, AWS/Azure/Google Cloud
- Strong communicator with customers; team-oriented
- Prioritize tasks and execute on customer-facing work
- Bonus: CI/CD pipelines, Docker and Kubernetes
🎁 Benefits
- Hybrid work model with Hyderabad office presence
- Opportunity to engage with the Apache Airflow community
- Work with a diverse customer base from startups to Fortune 500
- Collaborative, supportive team environment
- Equal opportunity employer and inclusive culture
- Growth in Airflow and Astronomer platform expertise
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