Design, develop, and maintain Python-based applications and workflows, with a focus on Apache Airflow DAGs.
Monitor, troubleshoot, and resolve technical issues in production environments.Collaborate with cross-functional teams to understand data workflows, dependencies, and SLAs.Support daily operations, monitor job runs, and ensure timely issue resolution.Enhance existing code and automation processes for better reliability and performance.Maintain proper documentation for support and handover purposes.Participate in code reviews, and follow best practices in coding and support procedures.Flexibly work in rotational shifts and be available during festival periods if required.4 to 7 years of professional experience in Python development.Strong hands-on experience with Apache Airflow and DAG development.Experience in writing efficient, scalable, and reusable Python code.Understanding of REST APIs, logging, error handling, and job scheduling.Familiarity with SQL and basic database interactions.Ability to troubleshoot issues quickly in production and staging environments.Willingness to work in rotational shifts, including weekends/festivals when required.Excellent communication and collaboration skills.

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