Senior Data Modeler I

Position Summary

MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science

Role Value Proposition

Data Modeler plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate expertise in conceptual, logical and physical data modeling and translate business requirements to data. This role mentors Data modelers. It is an individual contributor role, expected to solve wide ranging business problems.

Job Responsibilities

·       Translate business requirments into scalable data model designs.

·       Design and maintain logical, physical data models to support business and analytics needs.

·       Ensure data model consitency, integrity and adherence to best practices 

·       Develop and optimze dimensional data models for performance, scalaibility and deployment in on-prem and cloud (Azure Synapse, Databricks) for analytical processing

·       Perform data profiling and validation to ensure models accuracy & completeness

·       Build and maintain data dicitonaries, metadata respositories and ER diagrams.

·       Mentor Data Modelers

·       Independently lead design, solutioning & estimations

·       Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)

Education, Experience & Other Critical Requirement

Education

Bachelors degree in computer science, information technology or equivalent educational qualification

Experience 

(In Years)

8-10+ years of relevant experience