🛠 Tech Stack

💼 About This Role

You'll deliver Apache Airflow solutions for enterprises using the Astronomer platform. You'll act as a trusted advisor, architecting and optimizing data pipelines across diverse environments. You'll also engage with the open-source Airflow community.

🎯 What You'll Do

• Deliver Apache Airflow and Astronomer solutions post-sales.
• Educate customers on Airflow best practices and perform code refactoring.
• Design, prototype, and implement engineering solutions with the team.
• Collect and relay customer feedback to improve Airflow/Astronomer products.

📋 Requirements

• 3-5 years of data engineering experience with Apache Airflow in production.
• Experience creating DAGs and writing Python, building Airflow custom operators.
• Experience implementing ETL/ELT pipelines and optimizing data workflows.
• Experience with cloud platforms like AWS, Azure, or GCP.

✨ Nice to Have

• Experience with Docker and Kubernetes.
• Experience building CI/CD pipelines.
• Experience with Modern Data Stack tools like Snowflake, DBT, Databricks.

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work with 3 days in Hyderabad office.
• 💻 Work with open-source community on Apache Airflow.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Customer-facing demo· 60 min