MetLife is looking to solve the problem of enabling self-service capabilities for business partners and leading the creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms.
Requirements
- Designing scalable, high-performance systems, including designing data architectures that support analytics workflows, including data lakes or data warehouses, and leveraging platforms, such as Azure Synapse Analytics.
- Reducing operational costs through effective resource management and enhancing system reliability.
- Performing data analysis, including statistical analysis or machine learning model evaluation, to derive insights and inform decision-making.
- Writing complex SQL queries to extract and analyze data.
- Developing data-driven applications, incorporating analytics dashboards or real-time data visualizations using tools like Power BI
- Applying agile methodologies to deliver iterative product releases, ensuring continuous feedback and improvement.
- Using data security practices, including data encryption and access controls, to implement secure coding standards and conducting regular vulnerability assessments for an enterprise application, ensuring compliance with industry security standards.
Responsibilities
- Lead the creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems/platforms.
- Lead the collection and documentation of user requirements.
- Lead the detailed technical design and development of applications/platforms.
- Develop multiple technology stack capabilities.
- Develop specific software/platform components.
- Lead peer reviews of solution designs and related code for complex features.
- Investigate and resolve production management incidents, problems, and service requests.
Other
- Bachelor’s degree in Computer Science, Information Science, or Engineering (will accept foreign education equivalent) and seven (7) years of experience performing full stack engineering.
- Master’s degree in Computer Science, Information Science, or Engineering (will accept foreign education equivalent) and five (5) years of experience performing full stack engineering.
- Managing cross-functional teams on large-scale software projects and data analytics projects, including effectively communicating data-driven insights to non-technical and executive stakeholders.
- Must be legally authorized to work in the United States
- 3 days in office/2 days remote work arrangement
