FBS Data Engineer

As a Data Engineer at Capgemini, you will be responsible for acquiring, curating, and publishing data both on-prem and in the cloud for analytical or operational uses. You will ensure that the data is in a ready-to-use form that creates a single version of the truth across all data consumers.

Key responsibilities include:

• Consulting on data projects of intermediate complexity to understand design requirements and existing business processes
• Leading in the design, development, and implementation of data products
• Producing data building blocks, data models, and data flows for varying client requests
• Creating business user access methods to structured and unstructured data
• Utilizing techniques such as mapping data to a common data model, natural language processing, and transforming data as necessary to satisfy business rules
• Translating business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint
• Developing and maintaining moderately complex scalable data pipelines for both streaming and batch requirements
• Building out new API integrations to support increased demands of data volume and complexity

Requirements:

• Insurance Domain Knowledge - Intermediate
• Property & Casualty Insurance - Intermediate
• Software / Tool Skills: AWS or similar platform, DBT, Snowflake, Airflow or related, Data Analysis & Profiling, Data Architecture & Modelling, SQL & Python - all Intermediate (4-6 Years)

Benefits:

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