Data Modeler

About Capgemini Group 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 300,000 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. We are seeking an experienced Data Modeler with strong expertise in cloud data solutions, data warehousing, and business intelligence. The ideal candidate will have extensive experience designing enterprise data models, implementing scalable data architectures, and working with Google Cloud technologies—particularly BigQuery, Google Cortex, and related data engineering tools.

Requirements 6 years of experience working in bigData roles, Data Scientist, Data Engineer, etc. 3 - 5 years of relevant experience with the Google Cloud solutions and hands‑on experience on: Data Modeling, Data warehousing & Business Intelligence Strong SQL Scripting skills Google BigQuery, Google Cortex Framework Dataforms Airflow / DAG / Terraform Power BI Data Integrations involving diverse data source platforms like SAP, Azure, Oracle, APIs Fluent English level Responsibilities Design, develop, and maintain conceptual, logical, and physical data models aligned with business and analytical requirements. Design and implement data solutions using Google BigQuery, Google Cortex Framework, and Dataform. Develop data pipelines and workflows using Airflow, DAGs, and Terraform for infrastructure automation.

Integrate data from diverse platform sources, including SAP, Azure, Oracle, APIs, and on‑prem sys