Capgemini
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.
Outsourcing • Process Consulting • Package Based Solutions • Custom Solution Development • Application Management
Data Engineer - SQL, Python, Power BI
February 19
Capgemini
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.
Outsourcing • Process Consulting • Package Based Solutions • Custom Solution Development • Application Management
📋 Description
• Capgemini is seeking a highly motivated and detail-oriented Data Engineer for Insurance Carrier. • Work closely with the Chief Analytics Office to gather requirements, create and iterate on data products. • Develop pipelines that can provide data on an ongoing basis. • May take on other data projects to enhance data delivery across PL and Distribution. • Assist with pivoting from antiquated technologies to enterprise standards. • Our Client is one of the largest insurers in the United States, providing a wide range of insurance and financial services products.
🎯 Requirements
• Minimum Required Work Experience: 1-3 months • Preferred Work Experience in This Field: 1-3 months • Insurance Background - preferred • English Proficiency: Fluent • Required Education: Bachelor • Required Branch(es) of study: Data Science, Advanced Analytics, Data Engineering, ML Ops • 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 - Entry Level (1-3 Years) • Power BI - Entry Level (1-3 Years) • SQL - Intermediate (4-6 Years) • Excel - Intermediate (4-6 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 • *Note: Benefits differ based on employee level
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