Data Modeler

Job Title: Data Modeller – Banking Domain*.

Location: Chennai/Hyderabad/Bangalore

Experience: 8 - 10 Years

Job Summary

BigTapp is seeking an experienced Data Modeler with strong expertise in BFSI (banking) domain data models. The role involves designing, developing, and maintaining scalable data models aligned with enterprise data architecture. The candidate will work closely with business, data engineering, and analytics teams to ensure high-quality, well-structured data for reporting and analytics.

Mandatory Skills

• Strong experience in Data Modelling within BFSI (banking) domain
• Expertise in Star Schema, Snowflake Schema, Data Vault modelling
• Strong SQL knowledge with structured and semi-structured data
• Experience in data profiling, mapping, and data quality implementation
• Hands-on experience with data modelling tools like Erwin, ER Studio, or Toad
• Strong understanding of data warehousing concepts
• Ability to work with multiple stakeholders across business and technology
  
  

Key Responsibilities

• Design and develop conceptual, logical, and physical data models
• Perform data mapping, profiling, and transformation design
• Ensure data quality, consistency, and governance standards
• Collaborate with business teams to understand data requirements
• Work with data engineering teams for implementation of models
• Optimize models for performance and scalability
• Ensure compliance with security standards such as data masking and encryption
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred.
  
  

Technical Skills

• Data Modelling: Star, Snowflake, Data Vault
• Tools: Erwin, ER Studio, Toad
• SQL: Advanced SQL querying and optimization
• Data Platforms: Data Warehousing, Big Data ecosystems
  
  

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management
• Attention to detail and accuracy
• Ability to work in Agile environments
  
  

Good to Have

• Experience in Banking/Financial services domain
• Exposure to cloud platforms (AWS/Azure/GCP)
  
  

Work Experience

• 5+ years of experience in Data Modelling and Data Warehousing
• Experience working on large-scale enterprise data projects
  
  

Compensation & Benefits

• Competitive salary and annual performance-based bonuses
• Comprehensive health and optional Parental insurance.
• Optional Retirement savings plans and tax savings plans.
  
  

Key Result Areas (KRAs)

• High-quality data model design and delivery
• Data accuracy and consistency across systems
• Effective stakeholder collaboration
• Optimization of data structures for performance
  
  

Key Performance Indicators (KPIs)

• On-time delivery of data models
• Data quality and accuracy metrics
• Reduction in data issues and defects
• Stakeholder satisfaction
  
  

Contact: [email protected]