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  • Locais de publicação: Cary, North Carolina

Estados Unidos
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Descrição e requisitos

Role Value Proposition: 

MetLife Data & Analytics organization is the team of expert technologists responsible for building big data platforms and data services with innovative technologies to enable MetLife businesses to generate insights, and value to its customers. The team is the center of excellence in data engineering in MetLife and plays a key role in data enablement through multiple data stores, supporting different kind of analytical use cases to be able to derive predictive, prescriptive, and descriptive insights.

The Azure Data Engineer II serves as big data development expert within the data analytics engineering organization of MetLife Data & Analytics. This position has the responsibility of building ELT, data warehousing and reusable components using cutting edge big data and cloud technologies. The resource will collaborate with the business systems analyst, technical leads, project managers and business/operations teams in building data enablement solutions across different LOBs and use cases.

Key Responsibilities:

  • Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ELT) processes
  • Develop reusable frameworks to reduce the development effort involved thereby ensuring cost savings for the projects.
  • Develop quality code with thought through performance optimizations in place right at the development stage.
  • Appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies.
  • Work with team spread across the globe in driving the delivery of projects and recommend development and performance improvements.

Essential Business Experience and Technical Skills:

  • Ingesting huge volumes data from various platforms for Analytics needs and writing high-performance, reliable, and maintainable ELT code.
  • Strong analytic skills related to working with unstructured datasets.
  • Strong experience in building/designing Data warehouses, data stores for analytics consumption On prem and Cloud (real time as well as batch use cases)
  • Ability to interact with business analysts and functional analysts in getting the requirements and implementing the ELT solutions.


  • 8+ years of solutions development and delivery experience with 6+ years of recent experience in data engineering.
  • Proficiency and extensive Experience with Spark & Scala/Python and performance tuning
  • Hands on expertise in: Azure SQL Synapse, Cosmos DB, Data Factory, Python, Spark Scala experience is a MUST.
  • Building and Implementing data ingestion and curation process developed using Cloud data tools such as Azure SQL Synapse, Cosmos DB, Data Factory, Spark (Scala/python), Data bricks, Delta lake etc.
  • Performance tuning on Azure SQL Synapse dedicated SQL Pool and server SQL Pools, Cosmos SQL APIs loading and consumption optimizations.
  • Good scripting experience primarily on shell/bash/ PowerShell would be desirable.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
  • Expertise using Generative AI models for creating SQL/Python code, debugging it and optimizing it.
  • Experience writing and using Large Language Models (LLMs) to create co-pilot kind of experience for creating datasets.
  • Building and deploying LLMs for data pipeline performance monitoring, data quality and deriving lineage out of SQL implementation.
  • Usage of NLP for querying datasets, LLM for calling Data APIs and experience building AI chatbots.



  • Expertise in Python and experience writing Azure functions using Python/Node.js.
  • Experience using Event Hub for data integrations.
  • Eagerness to learn new technologies on the fly and ship to production.
  • Hive database management and Performance tuning - Partitioning / Bucketing.
  • Code versioning experience using Bitbucket/Azure DevOps. Working knowledge of Azure DevOps pipelines would be a big plus.
  • Prior experience leveraging AI and ML capabilities to automate and optimize complex workflows with intelligent use of low or no-code.
  • Very good problem solver and excellent communication skills - both written and verbal

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more!
Sobre a MetLife

Reconhecida na lista da revista Fortune das "Empresas Mais Admiradas do Mundo" de 2023, bem como na lista das 100 Melhores Empresas para Trabalhar da Fortune ® de 2023, a MetLife, através de suas subsidiárias e afiliadas, é uma das principais empresas de serviços financeiros do mundo; fornecendo seguros, anuidades, benefícios a funcionários e gestão de ativos para clientes individuais e institucionais. Com operações em mais de 40 mercados, ocupamos posições de liderança nos Estados Unidos, América Latina, Ásia, Europa e Oriente Médio.

Nosso objetivo é simples: ajudar nossos colegas, clientes, comunidades e o mundo em geral a criar um futuro mais confiante. Unidos por um propósito e guiados pela empatia, somos inspirados a transformar o próximo século nos serviços financeiros. Na MetLife, é #AllTogetherPossible. Junte-se a nós!
Equal Employment Opportunity/Disability/Veterans

If you need an accommodation due to a disability, please email us at This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.