Description

You will design, implement, and document data architecture and modeling solutions across relational, dimensional, and NoSQL databases. You will build and maintain data structures for data warehouses, data marts, and data lakes to support analytics, reporting, business intelligence, and machine learning.

Responsibilities

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

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.
• Proven ability to work with both relational and non-relational databases.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate