1. Design and implementation experience in data modelling solutions using relational, dimensional, and NoSQL databases
2. Experience in working with data architects to design bespoke databases using a mixture of conceptual, physical, and logical data models.
3. Analysing and translating business needs into long-term solution data models.
4. Evaluating existing data systems.
5. Working with the development team to create conceptual data models and data flows.
6. Experience in developing Industrial standard data model
7. Developing best practices for data coding to ensure consistency within the system.
8. Reviewing modifications of existing systems for cross-compatibility.
9. Implementing data strategies and developing physical data models.
10. Updating and optimizing local and metadata models.
11.
Evaluating implemented data systems for variances, discrepancies, and efficiency.
12. Troubleshooting and optimizing data systems.
13. Experience working with the Erwin data modeler tool will be added advantage
14. Exposure to Data vault modelling .
Must Have Skills:-
- Data Modeling (Conceptual, Logical, Physical Data Models)
- Data Architecture & Data Design
- Dimensional Modeling (Star Schema, Snowflake Schema)
- Data Warehousing Concepts
- SQL (Advanced)
- Database Design (Oracle, SQL Server, PostgreSQL, MySQL, etc.)
- Data Mapping & Data Lineage
- ER Modeling
- Metadata Management
- Data Governance Fundamentals
- Data Quality & Data Validation
- ETL / ELT Concepts
📌 Data Modeller (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad
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