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.
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