Teams at MetLife

Develops production-grade data and analytics solutions, applies statistics and machine learning to business problems, and mentors data scientists. Responsibilities include feature engineering, modeling, NLP, generative AI, MLOps, cloud AI services, stakeholder engagement, analytical storytelling, and structured problem solving within the banking, financial services, and insurance domain.

Build and deliver scalable, cloud-native, API-driven applications using React, Node.js, Next.js, Azure, REST APIs, and microservices. Develop accessible, high-performance interfaces, implement CI/CD pipelines, apply DevSecOps and automated testing practices, troubleshoot production issues, and collaborate with cross-functional teams to deliver reliable software solutions.

Develop and maintain Azure Databricks data pipelines using PySpark, Spark SQL, SQL, and Delta Lake. Support Informatica-to-Databricks modernization and HR data integrations, build source-to-target mappings and dimensional models, perform profiling, testing, reconciliation, and defect resolution, and create technical documentation. Apply data governance and access controls through Unity Catalog, participate in agile ceremonies and code reviews, and escalate risks while working under senior direction.