Analyst Development

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Role Summary

The incumbent should have

• Hands on experience in Python for Data Prototyping, and delivering projects in Data related projects using different AWS technologies like S3, Lambda, Glue, PySpark,
• Working knowledge of AWS environment (S3, CLI, Sage Maker)
• The incumbent would be responsible to understand & develop ETL Data Prototypes using Python. S/he would work towards creating a positive and innovation friendly environment.
• Programming: Unix shell scripting, Python, PySpark, MSSQL
• Design and develop ETL Rules in AWS Glue

Core Responsibility

• Strong experience in delivering projects in using Python.
• Exposure of working in Global environment and have delivered at-least 1-2 projects on Python.
• Delivery collaboration & coordination with multiple business partners.
• Must have good experience in leading projects.
• Good to have Industry knowledge of the Insurance industry with proven experience across multiple clients
• Implemented the developed methodology on Cloud, using AWS services like S3, Lambda, Glue, PySpark, SQS, DynamoDB

Qualification & Experience

• Bachelors in Technology(B.Tech)/Masters in computer application(MCA) or equivalent qualification.
• 2-5 years of relevant experience as a Data Engineer.

Job Category:

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