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FBS Data Engineer - SQL-Python-Power BI at Capgemini. Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.. As a Data Engineer, you will work closely with the Chief Analytics Office to gather requirements, . Core Responsibilities. Create and iterate on data products and develop pipelines that can be utilized to provide this data on an on-going basis.  In addition, this role may take on other data projects that assist in enhancing data delivery across PL and Distribution.  For example, this role may assist with pivoting from antiquated technologies to enterprise standards.  . . At least three years of experience as a Data Engineer. . Full English fluency . . BS in computer Engineering, Information Systemsm Data Science, Advanced Analytics, Data Engineering, ML Ops or similair. . . Insurance Background. - Desirable. . Required Branch(es) of study: . . Data Governance and Management. . Data Mining and Engineering. . Machine Learning Models and Operations. . . Other Critical Skills. . Data Engineering - Intermediate. . ML Ops & Model Deployment - Intermediate. . Cloud Practices - Intermediate. . . Software / Tool Skills. . Python - Intermediate (1-3 Years). . Power BI - Entry Level (1-3 Years). . SQL - Intermediate (4-6 Years). . Excel - Intermediate (4-6 Years). . Company Location: Brazil.