Capgemini is seeking a highly motivated and detail-oriented Data Engineer for Insurance Carrier.
A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs and other technical documents. The Engineer should have strong communication skills and the ability to understand design requirement and existing business processes to lead in the design, development, and implementation of data products in partnership with business partners and data scientists.
In addition, the Engineer should have the following knowledge:
- Intermediate expertise in Data Vault 2.0 Modeling to be able to support and use the Specialty data vault.
- Advance Expertise in SQL. The Engineer will be writing complex SQL statements.
- Intermediate expertise in DBT, Phyton and GitHub development. The Engineer should be able to use DBT as an ELT tool to load the data mart tables.
- Advance expertise in Snowflake database.
- Some knowledge of Mainframe, Mainframe SAS and Distributed DB2. Mainframe is a source system of the mart.
- Some knowledge on the Fivetran tool. Fivetran is used as an Orchestrating tool of the DBT code.
- Hands-on experience with multiple cloud platforms including AWS and Azure is preferred.
Informatica development skills is a plus but not required.
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.
Total Work Experience: Minimum Required: 4-6 / Preferred: 7-9
English Proficiency: Minimum Required: Fluent / Preferred: Fluent
Required Education: Minimum Required: Bachelor
Required Branch(es) of study: Software engineering, Data Science / Data modeling, Computer programing
Data Analytics Core Tools: Understands how to effectively use core tools for Data Analytics including Excel, PowerPoint, Power BI, Python and SQL
Data Architecture: Sets the blueprint for data and the way it flows through data storage systems and subsequent downstream applications. Defines the underlying data environment via data transformation rules, data grain or other principles aligning to expectations for business intelligence and advanced analytics initiatives.
Data Governance and Management: Manages the availability, consistency, usability, integrity, and security of the data employed in an enterprise. Sets and maintains internal standards—data policies—that apply to how data is gathered, stored, processed, and disposed of.
Other Critical Skills
Data Vault modeling - Entry Level
Dimensional Data modeling - Intermediate
Business Analytics - Intermediate
Data Analytics - Intermediate
Data profiling - Intermediate
Software / Tool Skills
SQL - Intermediate (4-6 Years)
DBT - Entry Level (1-3 Years)
Phyton - Intermediate (4-6 Years)
GitHub - Entry Level (1-3 Years)
Snowflake - Entry Level (1-3 Years)
Mainframe - Entry Level (1-3 Years)
Fivetran - Entry Level (1-3 Years)
AWS - Entry Level (1-3 Years)
Informatica - Entry Level (1-3 Years)
This position comes with competitive compensation and benefits package:
- 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
- *Note: Benefits differ based on employee level
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
What We Do
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.
