Solutions Engineer - Data Engineering (Hyderabad)
AstronomerRemotely
pythonetlapache airflowsnowflakedatabricksdbteltdags
Job Description
📋 Description
- Hybrid Work Model: work at least 3 days per week at our Hyderabad office while staying digitally
- Deliver Apache Airflow solutions across customer use cases from seed startups to Fortune 500.
- Architect and implement scalable data engineering frameworks using Airflow for Astronomer customers.
- Engage with customers and partners to ensure successful Airflow implementations post-sales.
- Engage with the Apache Airflow open-source community and Astro platform.
- Review and optimize data workflows and Airflow configurations for performance.
🎯 Requirements
- 3-5 years of data-engineering experience, ideally with Airflow in production.
- Experience creating DAGs, writing Python, and building Airflow operators/hooks.
- ETL/ELT pipeline expertise, data transformations, and monitoring.
- Experience with Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, or similar.
- Strong communication skills, team-oriented mindset, and ability to work with customers.
- Ability to prioritize and execute customer-facing activities.
🎁 Benefits
- Equal opportunity employer; inclusive environment and diversity values.
- Hybrid work model with in-office collaboration in Hyderabad.
- Opportunity to engage with the Apache Airflow project and open-source community.
Back to all jobs