IAM Database Intelligence Engineer

MetLife is one of the world’s leading financial services companies, recognized for its commitment to helping clients create a more confident future. The IAM Database Intelligence Engineer will support the Global IAM team by developing automation frameworks and tools for data processing and visualization, while collaborating with various teams to enhance data-driven solutions.

Responsibilities:

• Develop and Maintain Automation frameworks using Python, Pandas, Flask, PyTest
• Develop microservices or applications involving RESTful APIs and data connectivity to existing data platforms
• Build and enhance Python ETLs which ingest and process internal REST APIs
• Experience with Azure, particularly in relation to data storage, integration, processing, and AI services
• Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory)
• Perform unit, integration, and functional testing of developed components
• Deploy the developed services/modules in a Docker containerized environment
• Address issues and apply necessary fixes or enhancements
• Implement reliable, scalable, and high performing distributed systems
• Collaborate with cross functional team for feature development and system improvements
• Experience with Cl/CD pipelines and version controls in GIT
• Experience with containerization tools such as Docker and orchestration tools like Kubernetes
• Experience with RESTful and GraphQL API’s
• Understanding of data warehousing concepts and best practices including optimization strategies, query tuning, and clustering. Knowledge of data visualization tools like Power BI or Tableau for creating dashboards
• Experience with message driven architectures and event sourcing
• Knowledge of Agile methodologies and Tool
• Experience with testing frameworks (e.g. Junit, Pytest)

Requirements:

• Bachelor's degree in computer science, Information Systems, or another related field with 6+ years of Python or similar development tools OR high school diploma or equivalent and 7+ years' Python or similar development tools experience
• Understanding of Regulatory, NIST practices and Access management risks and controls
• Most of the following tool experience: Python, Pandas, Flask, PyTest, Django, Angular JS, GraphQL, React.js, Lambda, AWS S3 bucket integration, GitLab, Docker, Elastic Load Balancer, Azure Data Factory
• Develop and Maintain Automation frameworks using Python, Pandas, Flask, PyTest
• Develop microservices or applications involving RESTful APIs and data connectivity to existing data platforms
• Build and enhance Python ETLs which ingest and process internal REST APIs
• Experience with Azure, particularly in relation to data storage, integration, processing, and AI services
• Hands-on experience in developing and optimizing EL (Extract and Load) processes using ADF (Azure Data Factory)
• Perform unit, integration, and functional testing of developed components
• Deploy the developed services/modules in a Docker containerized environment
• Adress issues and apply necessary fixes or enhancements
• Implement reliable, scalable, and high performing distributed systems
• Collaborate with cross functional team for feature development and system improvements
• Experience with Cl/CD pipelines and version controls in GIT
• Experience with containerization tools such as Docker and orchestration tools like Kubernetes
• Experience with RESTful and GraphQL API's
• Understanding of data warehousing concepts and best practices including optimization strategies, query tuning, and clustering
• Knowledge of data visualization tools like Power BI or Tableau for creating dashboards
• Experience with message driven architectures and event sourcing
• Knowledge of Agile methodologies and Tool
• Experience with testing frameworks (e.g. Junit, Pytest)
• Process automation and optimization experience
• Experience with Large Language Models (LLMs) and Agentic frameworks
• Additional database platform experience with Oracle, UDB, IMS, MS SQL, AS400
• 4+ years of IT work experience in information systems support, security administration, risk management, and/or audit principles