Description

You will design and implement data architectures and engineering solutions to support large-scale analytics and business intelligence.

Responsibilities

• Design and develop conceptual, logical, and physical data models that support business needs and organizational data assets.
• Implement data modeling best practices including normalization, denormalization, and indexing to ensure integrity and performance.
• Collaborate with stakeholders to document data requirements, business rules, and platform objectives.
• Drive data modeling automation to improve solution transparency, quality, and code portability.
• Evaluate and recommend storage technologies and database management systems based on project constraints.

Required Skills

• 8+ years of experience in data architecture and engineering roles within data and analytics.
• 5+ years of hands-on experience with relational, dimensional, and NoSQL data platform technologies.
• Deep understanding of RDBMS, ETL, and data ingestion protocols.
• Proven experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts.
• Expertise in data modeling concepts and patterns related to data systems architecture.
• Experience implementing data strategies across reporting, visualization, analytics, and machine learning tools.
• Ability to perform hands-on modeling, configuration, installation, and performance tuning.

Preferred Skills

• Skill in identifying infrastructure, interfaces, and automated data load tools.

Key Skills

Education

Any Graduate