- Create conceptual, logical, and physical data models.
- Develop dimensional models (star/snowflake schemas).
- Design highly performant Operational Data Stores (ODS).
- Develop near real-time Data Warehouse models.
- Conduct reverse and forward engineering.
- Create source-to-target mappings and lineage documentation.
- Apply Kimball, Inmon, Data Vault principles.
- Develop reusable canonical models.
- Maintain modeling standards and documentation.
- Build optimized physical data structures.
- Write advanced SQL queries and stored procedures.
- Perform indexing, partitioning, and performance tuning.
- Work with Matillion, DBT, SnapLogic, Informatica teams.
- Support ingestion, transformation, and curation layers.
- Optimize high-volume pipelines.
- Prepare curated datasets for Risk, Fraud, and Analytics teams.
- Support ML-ready datasets (Python knowledge preferred).
- 10–15+ years of hands-on data modeling experience.
- 10+ years experience using Erwin (conceptual/logical/physical modeling).
- Strong ODS & Data Warehouse modeling experience.
- Expert SQL skills (Oracle, Snowflake).
- Experience in Financial Services (Banking / Cards / Payments).
- Experience with metadata, lineage, and data quality.
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Senior Data Modeler - Tamil Nadu - Brace Infotech Private Ltd
Description
Senior Data Modeler (Hands-on)
Enterprise Data Modeling | ODS | Data Warehouse | Financial Systems
10–15+ years of hands-on data modeling experience.
10+ years experience using Erwin (conceptual/logical/physical modeling).
Role Overview
We are seeking a Senior Data Modeler with deep expertise in conceptual, logical, and physical data modeling for enterprise financial systems. This role focuses heavily on ER modeling, ODS/DW design, performance optimization, and source-to-target mappings.
This position is more execution-focused and hands-on in detailed modeling work.
Key Responsibilities
Data Modeling & Design
Modeling Methodologies
Database & SQL Expertise
ETL / ELT Collaboration
Analytics & Data Preparation
Required Experience
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