We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

FBS Data Engineer - SQL / Snowflake 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 be responsible to understand, analyze & translate business data stories into a technical stories breakdown structure. As a Data Engineer, capable in design, build, test and implement data products of varying complexity, with limited coaching and guidance.. Total Work Experience: . Minimum Required: 4-6 / Preferred: 4-6. English Proficiency: . Minimum Required: Fluent / Preferred: Fluent. Insurance Background - Necessary. Required Education: . Minimum Required: Bachelor. Required Branch(es) of study: . Data Analytics Core Tools: . Understands how to effectively use core tools for Data Analytics including Excel, PowerPoint, Power BI, Python and SQL. . Other Critical Skills. Cloud computing , Networks, concepts - Entry Level. API , Open Source Data Products - Entry Level. Data Analysis, Profiling - Advanced. . Software / Tool Skills. SQL / Snowflake - Advanced (+5 Years) ***Priority. DBT - Advanced+2years. Python - Advanced +2years. Power-BI - Intermediate +3 years. Mainframe ZOS, JCL/PROC, COBOL - Intermediate (4-6 Years). Microsoft Office - Intermediate (4-6 Years). Shell Scripting - Entry Level (1-3 Years). ETL Integration tools - Entry Level (1-3 Years). •Soft skills: communication, problem solving, attention to detail.. Company Location: Brazil.