Description

You will design and implement enterprise data architecture, modeling, and governance frameworks.

This role is hybrid.

Responsibilities

• Develop enterprise data models using normalized, denormalized, star, and snowflake schemas.
• Implement data warehousing solutions following Bill Inmon and Ralph Kimball methodologies.
• Manage data architecture across cloud and on-premise database environments.
• Apply Data Vault 2.0 principles to complex data structures and maintain MDM standards.
• Ensure data quality, lineage, and governance compliance within the Financial domain.

Required Skills

• 5+ years of experience in Data Modeling and Data Analysis.
• Deep expertise in Snowflake and Data Vault 2.0.
• Experience with Big Data tools including Hive, S3, Icino, and Hue.
• Strong background in Data Warehousing, MDM, Data Governance, and Data Lineage.
• Proficiency with modeling tools such as Erwin, ER/Studio, or Toad Data Modeler.
• Practical experience with both normalized and denormalized schema design.
• Degree in a relevant field (Any Graduate).

Key Skills

Education

Any Gradute