Capgemini
Insurance
FBS-ElasticsearchDataEngineer(MedallionArchitecture)
Neural analysis suggests this role is
optimal for Senior candidates.
“FBS - Elasticsearch Data Engineer (Medallion Architecture) at Capgemini. Skills: Elasticsearch, Medallion Architecture, Spark, DBT. Architect data pipelines. Develop data pipelines”
What You'll Achieve.
Enable high-quality, business-ready datasets
Industry & Context.
Excellent analytical skills; Excellent problem-solving skills
What They're Looking For.
Must Have
5 years of experience as an Elasticsearch Data Engineer, Expert knowledge of ELK stack, Java Spring Boot, IBM ACE Programming, BS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similar, Full English Fluency, Elasticsearch cluster optimization, Elasticsearch query development, Elasticsearch data modeling, Elasticsearch performance tuning, Elasticsearch administration, Spark, Python, ETLs, Amazon EMR, DBT for data transformation, DBT for data modeling, Apache Airflow, AWS Step Functions, Amazon S3, Apache Iceberg, Kubernetes, AWS Lambda, JSON
Nice to Have
Experience with Dremio, Experience with Looker, AWS certification, CloudWatch
What You'll Do.
Architect data pipelines
Develop data pipelines
Maintain data pipelines
Develop data transformations
Automate data transformations
How You'll Work.
Communication Scope
Full English Fluency; Excellent communication skills
Full Job Description
**Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums 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.** The Data Engineer will architect, develop, and maintain scalable data pipelines within a medallion architecture (bronze, silver/base vault, business vault, gold layers). This role is key in enabling high-quality, business-ready datasets by leveraging modern data engineering technologies and orchestration practices. **Role Responsibilities:** • Design, build, and manage end-to-end data pipelines across the medallion architecture—specifically the bronze, silver (base vault with DBT and orchestration tools, business vault), and gold layers. • Ingest and process raw data using Spark and Amazon EMR for scalable, distributed computation. • Develop and automate data transformations for the base vault using DBT (Data Build Tool) to standardize and model data efficiently. **Requirements** * At least 5 years of experience as an Elasticsearch Data Engineer - ELK (Elasticsearch, Logstash, and Kibana) stack Expert knowledge) * Java Spring Boot * IBM ACE Programming * BS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similar * Full English Fluency **Skills & Competencies** * Strong understanding of data modeling, governance, and best practices in modern data architectures. * Excellent analytical, problem-solving, and communication skills. **Software / Tool Skills** * **Elasticsearch** \- cluster optimization, query development, data modeling, performance tuning & administration (4-6 Years) (**Must**) * Deep experience with **Spark, Python and ETLs** and Amazon EM
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