Metlife
Posted on September 16, 2025
MetLife is looking for an experienced Data Engineer to drive its digital and AI transformation journey. The role focuses on building modern data platforms on Azure Cloud, enhancing data storage and access, and ensuring seamless data consumption via APIs. The candidate will work with data lakes, marts, and pipelines to support business analysts and data scientists, while following Agile and DevOps practices.
Modern Data Platform Development Build data lake components on cloud platforms (Azure). Design and develop data marts for business analysts and data scientists. Data Engineering & Pipelines Design data pipelines integrating structured, semi-structured, and unstructured data. Implement ETL/ELT processes for data transformation and cleansing. Ensure data quality and alignment with enterprise standards. Work with Medallion architecture and implement best practices for data modeling. Agile & DevOps Practices Deliver solutions using Agile methodologies in a CI/CD-driven environment. Work on containerized solutions (Azure Kubernetes) and scheduling tools (Azure Scheduler). Follow secure coding practices and authentication/authorization protocols.