JD : Data Enigneer
Experience: 5-8 years of in-depth, hands-on expertise with ETL tools and logic, with a strong preference for IDMC (Informatica Cloud).
Application Development/Support: Demonstrated success in either application development or support roles.
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
Keyskills: python airflow aws informatica Data engineer etl sql