Develop and maintain Apache Airflow workflows and Python-based data pipelines. The role covers workflow orchestration, ETL/ELT development, data integration, performance optimization, monitoring, and CI/CD support within an Agile setting.

Key Responsibilities
Build and maintain Airflow DAGs for reliable workflow orchestration.
Develop and support Python-based ETL/ELT pipelines and data integrations.
Work with APIs, databases, files, Kafka, and MQ.
Monitor, troubleshoot, and optimize pipeline performance.
Support version control and CI/CD practices.
Collaborate within an Agile setting.

Required Skills and Experience
Solid Python development skills, including writing clean, modular, and testable code.
Proven experience building and maintaining Apache Airflow DAGs.
Solid understanding of workflow orchestration, scheduling, and dependencies.
Experience with ETL/ELT pipelines and data integration.
Familiarity with Git, CI/CD practices, monitoring, troubleshooting, and performance optimization.

📌 Airflow & Python Data Engineer Mumbai
🏢 RARR Technologies
📍 Mumbai