Key Responsibilities: Design, develop, and manage complex Airflow DAGs for data workflows, ETL/ELT pipelines, and task automation. Integrate Airflow with various data sources (e.g., databases, APIs, cloud storage) and targets. Optimize and monitor pipeline performance and troubleshoot failures in a timely manner. Collaborate with data engineers, analysts, and platform teams to support end-to-end data solutions. Implement best practices for code quality, testing, version control, and deployment. Maintain documentation and provide technical mentorship to junior engineers.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed