Description

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

Responsibilities

• Design, build, and optimize conceptual, logical, and physical data models for enterprise data platforms.
• Analyze existing finance data structures and recommend optimizations for performance, scalability, and data integrity.
• Support the creation of solution prototypes, technical documentation, and user training.
• Support the development and maintenance of data pipelines and ETL/ELT processes.
• Troubleshoot and resolve data modelling issues in development and production environments.

Required Skills

• Strong expertise in data modelling (conceptual, logical, physical) and dimensional modelling.
• Experience in finance analytics and understanding of finance business processes (GL, AP, AR, FP&A, etc.).
• Familiarity with AI/ML concepts and analytics use cases.
• Hands-on experience with cloud data platforms (AWS, Azure, GCP) and data services.
• Experience with ETL/ELT tools and data pipeline orchestration (Informatica, Talend, DBT, Airflow).
• Strong SQL skills and experience with database design and performance tuning.
• Experience with data governance, metadata management, and data lineage tools.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.

Key Skills

Education

Any Graduate