Description

You will design and implement data models for enterprise-scale OLTP and OLAP applications.

Responsibilities

• Build enterprise data models from scratch, including the development of data dictionaries and metadata repositories.
• Collaborate with business stakeholders and analysts to translate business requirements into technical data models.
• Design schema patterns for NoSQL databases, specifically focusing on scalability, performance, and hierarchical data.
• Work with database administrators to implement models and enforce data modeling standards and best practices.
• Conduct data profiling and analysis to ensure data accuracy, integrity, and compliance with governance policies.

Required Skills

• 10+ years of experience in data model design for OLTP and OLAP applications.
• 2+ years of experience modeling NoSQL databases, specifically MongoDB and Neo4j.
• Expertise in schema design for hierarchical data, entity relationships, and embedded documents.
• Proven ability to model one-to-many and many-to-many relationships using document and graph databases.
• Experience creating design patterns optimized for performance and scalability.
• Proficiency with data modeling tools such as Lucidchart, Draw.io, or ERWIN.
• Strong analytical skills for identifying patterns and trends within complex datasets.
• Ability to travel to customer locations for workshops as required.

Preferred Skills

• Prior experience working on automobile-related projects.

Key Skills

Education

Any Graduate