Description

You will design, build, and optimize data models for enterprise data platforms.

This role is on-site.

Responsibilities

• Design and optimize conceptual, logical, and physical data models for enterprise platforms.
• Analyze finance data structures to improve performance, scalability, and integrity.
• Develop and maintain data pipelines and ETL/ELT processes.
• Create solution prototypes, technical documentation, and user training materials.
• Troubleshoot and resolve data modelling issues in development and production environments.

Required Skills

• Strong expertise in data modelling (conceptual, logical, physical) and dimensional modelling.
• 6+ years of experience in data engineering or modelling roles.
• Hands-on experience with cloud data platforms (AWS, Azure, GCP) and data services.
• Experience with ETL/ELT tools and orchestration (Informatica, Talend, DBT, Airflow).
• Strong SQL skills and database design performance tuning.
• Experience with data governance, metadata management, and data lineage tools.
• Familiarity with AI/ML concepts and analytics use cases.

Preferred Skills

• Understanding of finance business processes (GL, AP, AR, FP&A).
• Bachelor's or Master's degree in Computer Science, Information Systems, or Engineering.

Key Skills

Education

Any Graduate