Seeking an experienced Data Modeler with strong expertise in designing and implementing large-scale, high-performance data warehouses and data marts. The ideal candidate should have hands-on experience in data modeling, analysis, and mapping particularly within the Banking domain.

Key Responsibilities :

- Design and implement scalable and efficient data models supporting business intelligence and analytics.

- Develop and maintain data warehouses and data marts for performance and reliability.

- Perform data analysis, data mapping, and reverse engineering of existing systems to create optimized models.

- Collaborate with data engineers, analysts, and business teams to understand requirements and translate them into logical and physical data models.

- Ensure compliance with data governance, standards, and best practices.

- Document data models and maintain metadata repositories.

Required Skills :

- Strong experience with SQL (SQL Server, Snowflake).

- Expertise in data modeling tools such as ERwin (or equivalent tools).

- Solid understanding of data warehousing concepts, performance tuning, and normalization/denormalization strategies.

- Experience in Banking domain or experience in implementing Banking domain industry standard models

- Strong analytical, communication, and problem-solving skills.