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.
- Using the strong Python, SQL, PySpark and cloud technical skills help solve the business challenges related to data & data products
- Work with different business teams, IT to help business team get the required data to support their needs
- Become an SME on the different source systems, data products and help different business users with their data needs
- Support the existing data assets and products by refreshing the data
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: * Competitive salary and performance-based bonuses
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