Description

You will design and implement data architecture and modeling solutions for relational, dimensional, and NoSQL databases to support analytics and machine learning.

Responsibilities

• Design and implement data modeling solutions for analytics and machine learning workloads.
• Build and maintain scalable data structures for data warehouses, marts, and lakes.
• Document data architecture and modeling workflows using enterprise tools.
• Perform data profiling to ensure data quality and integrity across environments.

Required Skills

• 5+ years of experience in data modeling and architecture.
• Proficiency with Erwin for modeling and SQL for implementation.
• Hands-on experience with AWS databases including Hive, Redshift, and Aurora.
• Deep understanding of OLTP and OLAP systems.
• Expertise in Dimensional Modelling, specifically Star and Snowflake schemas.
• Strong knowledge of ETL vs ELT processes.
• Experience with Collibra, Confluence, and SharePoint for documentation.

Preferred Skills

• Graduate degree.

Key Skills

Education

Any Graduate