Description

You will design and implement data models across relational, dimensional, and NoSQL platforms to support analytics and machine learning.

This role is on-site.

Responsibilities

• Develop conceptual, logical, and physical data models for RDBMS, AWS Redshift, ODS, data marts, and data lakes.
• Define and govern data modeling standards, design tools, and best practices for enterprise data architecture.
• Build data flows and implement business and IT requirements across reporting, visualization, and analytics tools.
• Optimize data query performance and oversee the expansion of existing data architecture.
• Perform hands-on modeling, configuration, installation, performance tuning, and sandbox POCs.

Required Skills

• 5+ years of experience in data modeling and architecture.
• Proficiency with SQL and NoSQL databases.
• Experience with RDBMS and AWS Redshift data warehouses.
• Hands-on experience with ODS and data lake implementations.
• Working knowledge of Python.
• Ability to define entities, attributes, mapping, relationships, and integrity rules.
• Domain knowledge in Life and Annuity Insurance.
• Degree in any graduate field.

Key Skills

Education

Any Graduate