Data Engineer

February 18

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Capgemini

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Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

• Capgemini is seeking a highly motivated and detail-oriented Data Engineer for Insurance Carrier. • 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. • 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.

🎯 Requirements

• Total Work Experience: Minimum Required: 4-6 / Preferred: 4-6 • English Proficiency: Minimum Required: Fluent / Preferred: Fluent • Required Education: Minimum Required: Bachelor • 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 - Advanced (7+ Years) • Python - Advanced (7+ Years) • DBT - Advanced (7+ Years) • Power-BI - Intermediate (4-6 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)

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package • Home Office model • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally known group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development • Performance Bonus