Data Engineer

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