Job Description
Python Proficiency: Strong understanding of Python, with practical coding experience
AWS: Comprehensive knowledge of AWS services and their applications
Airflow: creating and managing Airflow DAG scheduling.
Unix & SQL: Solid command of Unix commands, shell scripting, and writing efficient SQL scripts
Analytical & Troubleshooting Skills: Exceptional ability to analyze data and resolve complex issues.
Development Tasks: Proven capability to execute a variety of development activities with efficiency
Insurance Domain Knowledge: Familiarity with the Insurance sector is highly advantageous.
Production Data Management: Significant experience in managing and processing production data
Work Schedule Flexibility: Open to working in any shift, including 24/7 support, as require Role & responsibilities
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