Data Modeler - Financial Services

Data Modeler - Financial Services

Role Summary

We are seeking a skilled Data Modeler with strong experience in relational and dimensional data modeling, database design, and data architecture. The candidate should be capable of translating business requirements into technical data solutions while working in Agile environments.

Key Responsibilities

• Design and develop relational and dimensional data models
  
• Perform data mapping analysis and transformation analysis
  
• Translate business requirements into scalable technical data solutions
  
• Develop and maintain data dictionaries for target-state architecture
  
• Create architecture and strategy artifacts
  
• Work with source-to-target data structures and ETL processes
  
• Handle ingestion of various file formats (XML, JSON, CSV)
  
• Support database administration and performance tuning
  
• Ensure adherence to data governance standards including metadata and lineage management
  
• Collaborate within Agile teams
  

Required Technical Skills

• Strong expertise in SQL / PL-SQL
  
• Schema conversion and translation experience
  
• Good working knowledge of Python
  
• Strong understanding of:
  
• Data modeling concepts
  
• Data architectural patterns and approaches
  
• RDBMS and Key-Value databases
  
• Experience with ETL processes and data products
  
• Exposure to Cloud platforms (AWS / GCP) and cloud architecture
  
• Knowledge of Data Governance processes, metadata, and lineage tools
  

Nice to Have

• Experience with Fenergo Implementation
  
• Domain knowledge in Financial Services and Enterprise Functions
  

Educational Qualification

• Bachelor’s Degree in Computer Engineering, Information Science, or related field
  

Core Competencies

• Strong analytical and problem-solving skills
  
• Ability to bridge business and technical teams
  
• Experience working in Agile delivery environments
  

Primary Skills (Digital)

• Python
  
• Data Concepts & Data Modelling
  
• PL/SQL