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FBS Elasticsearch Data Engineer at Capgemini. 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.. . At least 5 years of experience as an Elasticsearch Data Engineer. . 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 EMR (Must) . .  Hands-on experience with . DBT. for data transformation and modeling.. .  . Apache Airflow, AWS Step . Functions, or similar. (. Must. ) . . Expert knowledge of . Amazon S3 and Apache Iceberg . for data storage and management.. . Experience with Kubernetes for container orchestration.. . Experience with Dremio, Looker, or equivalent business view/semantic layer technologies. . . AWS Cloud . – Intermediate, AWS . Lambda (Must) , Step Functions. , IAM, SNS, API Gateway, VPC, Transit Gateway, Intermediate (3-4 Years) . . . JSON. - Intermediate (4-6 Years). . Jenkins – Data Pipeline Intermediate (4-6 Years) PLUS. . CloudWatch - Intermediate (4-6 Years) PLUS. . Company Location: Mexico.