Remote Airflow Engineer Jobs in India

Reliable data workflow orchestration, scheduled batch execution, and complex dependency management across modern data stacks rely centrally on Apache Airflow. The live vacancies featured on this page query RemoteKraft for “Airflow”, connecting Indian data engineers, platform specialists, and analytics engineers with leading technology enterprises. Global organizations hire remote Indian talent to author maintainable DAGs, scale Airflow executor infrastructure, and ensure high-availability pipeline delivery.

For Indian engineers pursuing remote Airflow roles, core requirements include authoring programmatic Python Directed Acyclic Graphs (DAGs), designing custom operators, and implementing sensors and task hooks. Employers seek engineers adept at managing Celery, Kubernetes, or Docker executors, handling backfills and idempotent task runs, and managing Airflow configurations on managed platforms like AWS MWAA or Astronomer. Strong integration experience with dbt, Snowflake, BigQuery, and Kafka is highly valued.

Remote Airflow engineering positions provide competitive overseas compensation packages, comprehensive benefits, and schedule autonomy. Listings specify whether teams follow asynchronous workflows or require fixed overlap hours with overseas engineering counterparts. Working remotely from India, engineers gain the flexibility to build resilient orchestration backbones for mission-critical analytics and machine learning pipelines across international organizations.

Elevate your RemoteKraft profile by highlighting production Airflow implementations, dynamic DAG generation patterns, and measurable improvements in pipeline reliability and SLA compliance. Providing clean GitHub code samples illustrating custom Airflow plugins and automated testing using pytest demonstrates professional rigor. Validate all employment opportunities through official company careers platforms before submitting personal details.