Description

You will design and implement conceptual, logical, and physical data models across relational, dimensional, and NoSQL platforms.

Responsibilities

• Develop and implement data models for RDBMS, AWS Redshift data warehouses, operational data stores (ODS), data marts, and data lakes.
• Define and govern data modeling standards, design tools, and best practices for enterprise data models.
• Build data flows and implement business and IT requirements across reporting, visualization, analytics, and machine learning tools.
• Optimize data query performance and oversee the expansion of existing data architecture.
• Perform hands-on modeling, configuration, installation, performance tuning, and sandbox POCs.
• Identify architecture, infrastructure, and interfaces for data sources and automated data loads.

Required Skills

• 5+ years of experience in data modeling and architecture.
• Proficiency with SQL and NoSQL databases.
• Experience with RDBMS and AWS Redshift.
• 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