The Senior Data Modeler designs and maintains data models to support analytics, mentors junior modelers, and collaborates across business functions.
Description and Requirements
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
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
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
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead the development of software solutions using various technologies. Ensure application stability, enhance customer experience, and manage project lifecycles while collaborating with teams and documenting requirements.
Top Skills:
AgileAWSAzureCi/CdDevOpsGroovyJavaJavaScriptMicroservicesMicrosoft SuiteMongoDBNode.jsReactRemixRestSpring Boot
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Sr. Manager of Technology Services will develop batch workflows, provide customer training, and ensure adherence to scheduling best practices. Responsibilities include functional support for scheduling software, coordinating batch scheduling changes, and enhancing customer satisfaction through process improvements.
Top Skills:
Ibm Workload SchedulerLinuxWindows
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Data Modeller II translates business requirements into scalable data models, ensuring data integrity and best practices while providing leadership in data analytics talent.
Top Skills:
Azure SynapseData Modelling Tools Such As ErwinDatabricksETLJSONNoSQLOracleRestSoapSQLXML
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
