Description

Design and implement data structures across relational and non-relational platforms. Manage data ingestion protocols and ETL processes for data warehouse and transactional databases. Lead technical discussions and collaborate within an Agile framework to deliver data architecture solutions.

Responsibilities

• Design relational, dimensional, and analytic data models using RDBMS and NoSQL technologies.
• Implement metadata management strategies and utilize modeling tools to maintain data integrity.
• Manage data ingestion protocols and ETL processes for data warehouse and transactional databases.
• Lead technical discussions and present solutions to stakeholders.
• Collaborate within an Agile framework to deliver data architecture solutions.

Required Skills

• 5+ years of hands-on experience in relational, dimensional, or analytic data modeling.
• Proficiency with RDBMS and NoSQL data platform technologies.
• Experience designing for data warehouses and transactional databases.
• Practical knowledge of ETL and data ingestion protocols.
• Strong understanding of metadata management.
• Experience using data modeling tools such as Erwin or Power Designer.
• Proven ability in team management and technical presentation.
• Familiarity with Agile methodologies.

Preferred Skills

• Experience with data lakes and enterprise big data platforms in multi-data-center contexts.

Key Skills

Education

Any Graduate