Description

Key Responsibilities

 

• Conduct current-state data architecture assessment across Data Platform modules and data structures.
• Analyse source systems and define data mappings for migration and integration initiatives.
• Create conceptual, logical and physical data models for Disclosure and Work Actions modules.
• Having hands on experience in Data vault .
• Having QNXT experience is a Plus
• Design and maintain conceptual, logical, and physical data models for enterprise applications and analytics platforms.
• Develop dimensional data models (Star Schema, Snowflake Schema) for reporting and business intelligence.
• Create and maintain data dictionaries, metadata repositories, and data lineage documentation.
• Develop workforce analytics frameworks and KPI measurement models.
• Support data modernization and cloud migration projects.
  
   

Required Experience

 

• 12+ years in Data Modeling and Data Architecture.
• Strong expertise in relational database design and normalization.
• Experience with PostgreSQL , Dynamo DB, SQL Server environments.
• Experience supporting legacy modernization programs.
• Hands-on experience with AWS-based enterprise platforms.
  
   

Technical Skills

 

• Data Modeling tools: ERwin, ER/Studio, PowerDesigner or equivalent.
• Data migration and transformation concepts.
• Metadata management and data lineage practices.
• UML, ERD and information architecture documentation

Key Skills

Education

Bachelor's degree