Data Modeler
1 week ago
Job Title : Data Modeler
Experience : 10-14 Years
Location : Remote
Notice Period : Immediate
Key Skills : Data Modeling, Data Analysis, Erwin or Erwin Studio, Dimensional Modeling, Data Warehousing (DWH), Snowflake, SQL
Domain : Banking (Mandatory)
Job Type : Full-Time/Freelencer
Job Description
Role Overview :
We are looking for an experienced Data Modeler with 10-14 years of experience to design and manage data models for large-scale banking applications. The ideal candidate should have strong expertise in Data Modeling, Dimensional Modeling, Data Warehousing (DWH), and Snowflake, along with proficiency in Erwin or Erwin Studio.
Responsibilities :
- Design and develop conceptual, logical, and physical data models based on business requirements.
- Create and maintain enterprise-level data models to support banking applications and analytics.
- Work closely with business analysts, data architects, and development teams to define data structures.
- Implement Dimensional Modeling techniques for optimized reporting and analytics.
- Develop and maintain data dictionaries, metadata, and governance policies.
- Optimize database structures for performance, scalability, and maintainability.
- Collaborate with ETL and BI teams to ensure data integrity and proper data flow.
- Work with DWH solutions (Snowflake, Redshift, BigQuery, etc.) for efficient data storage and retrieval.
- Write and optimize complex SQL queries for data extraction, transformation, and analysis.
- Ensure compliance with banking regulations, data security policies, and GDPR standards.
Required Skills :
- Data Modeling & Analysis - Strong expertise in Conceptual, Logical, and Physical Data Models
- Dimensional Modeling - Fact and Dimension Tables, Star & Snowflake Schemas
- Data Modeling Tools - Erwin Data Modeler or Erwin Studio (Mandatory)
- Data Warehousing - Hands-on experience with DWH architectures (Snowflake preferred)
- SQL & Database Design - Strong SQL skills, indexing, partitioning, performance tuning
- ETL & Data Integration - Understanding of ETL processes and best practices
- Banking Domain - Experience in retail banking, core banking, risk, regulatory reporting, or payments
- Cloud Data Platforms - Exposure to AWS, Azure, or GCP for cloud-based data solutions
Nice to Have :
- Knowledge of Data Governance, Data Lineage, and Master Data Management (MDM)
- Experience with Big Data technologies (Hadoop, Spark, Kafka)
- Exposure to data privacy laws (GDPR, CCPA, PCI DSS)
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