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 environment.

Required Skills and Experience

- Strong 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