Description

Design and implement data architectures across relational, dimensional, and NoSQL platforms within an AWS environment.

Responsibilities

• Design relational, dimensional, and analytic data models using RDBMS and NoSQL technologies.
• Map and document source-to-target mappings to ensure data integrity.
• Manage metadata and data schemas within enterprise big data platforms.
• Perform data analysis and testing to validate data ingestion and ETL protocols.
• Maintain documentation for data models, schemas, and mapping logic.

Required Skills

• 8+ years of hands-on experience with RDBMS, dimensional, and NoSQL data platforms.
• Strong experience working with AWS cloud services.
• Proficiency in SQL for querying and data analysis.
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts.
• Hands-on experience with data modeling tools such as Erwin or ER Studio.
• 2 to 3 years of experience in data analysis and data testing.
• Expertise in ETL and data ingestion protocols.
• Strong metadata management skills.
• Bachelor's degree required.

Key Skills

Education

Any Graduate