Data Modeller - S

Key Responsibilities

• Design and develop conceptual, logical, and physical data models for enterprise applications and data platforms.
• Analyze business requirements and translate them into effective data modeling solutions.
• Define data entities, relationships, attributes, and business rules.
• Develop and maintain data dictionaries, metadata repositories, and data lineage documentation.
• Collaborate with Data Architects, Data Engineers, Business Analysts, and application teams to ensure data consistency and quality.
• Support database design, optimization, and performance tuning initiatives.
• Implement data governance standards, naming conventions, and best practices.
• Conduct data profiling and impact analysis for system enhancements and migrations.
• Assist in data warehouse, data lake, and master data management initiatives.
• Participate in Agile/Scrum ceremonies and contribute to project planning and delivery.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.
• Strong experience in data modeling and database design.
• Expertise in creating:
• Conceptual Data Models
• Logical Data Models
• Physical Data Models
• Strong understanding of:
• Data Modeling Principles
• Data Normalization and Denormalization
• Dimensional Modeling (Star Schema, Snowflake Schema)
• ER Modeling
• Data Warehousing Concepts
• Proficiency in SQL and relational database management systems.
• Experience with data modeling tools such as:
• ERwin
• ER/Studio
• PowerDesigner
• Lucidchart
• Visio
• Experience working with databases such as:
• SQL Server
• Oracle
• PostgreSQL
• MySQL
• Snowflake
• Strong analytical and problem-solving skills.