Posted:5 hours ago|
Platform:
Remote
Part Time
Join Capgemini as an FBS Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.
As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture & Solutioning. Helping build complex data products, data assets to support the organizations D&A needs.
Requirements
Total Work Experience : 6yrs and above
Data Engineering - Intermediate
Data Quality & Data Management - Intermediate
ETL - Advanced
Data Warehousing & Data Lake - Advanced
Python - Intermediate (4-6 Years)
SQL - Snowflake - Intermediate (4-6 Years)
PySpark - Intermediate (4-6 Years)
AWS (Lambda, EMR, Step Function) - Entry Level (1-3 Years)
ETL - Intermediate (4-6 Years)
Benefits
Competitive compensation and benefits package:
Note: Benefits differ based on employee level.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/
Capgemini
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