• Design and develop scalable data models for a data lake architecture using AWS Redshift
• Create and maintain logical and physical data models to support business intelligence and analytics initiatives
• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and use cases
• Maintain and define naming and transformation standards
• Maintain a data dictionary for data platform consumption
• Optimize data structures and query performance in AWS Redshift
• Able to understand complex data structure, preferably in Insurance or banking industry
  
  

• Strong Data Modeling experience.
• Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
• Comprehensive understanding of Physical Data Modeling, create and deliver high-quality data models, by following agreed data governance and standards.
• Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
• Should be an individual contributor with good understanding of the SDLC or Agile methodologies.
• Excellent communication & stakeholder management skills.
• Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
• Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin (preferable), Visual Paradigm (preferable).
  
  

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