FSS Sector. Location: Pune, Noida, Kolkata) Total Experience: 12+ yrs Relevant Experience: 12 yrs Mandatory Skills: 1. Data modeling experience: Minimum 12+ years of experience in data modeling, with a focus on Conceptual, Logical, and Physical Data Modeling (CDM, LDM, PDM). 2. Data modeling expertise: Strong understanding of data modeling concepts, including CDM, LDM, and PDM, and ability to apply them to various data storage technologies, including Oracle databases, relational databases, and document-oriented databases. 3. Data modeling tools: Proficiency in data modeling tools such as ER/Studio, Oracle Data Modeler, or similar tools. 4. Data mapping, integration, and synchronization: Experience with data mapping, integration, and synchronization, including data transformation, data quality, and ensuring data consistency across different systems. 5. DDD knowledge: Familiarity with Domain-Driven Design (DDD) principles and their application to data modeling. Nice to Have Skills: 6. Financial domain knowledge: Familiarity with financial domain industry models and quality standards is a plus. 7. Data governance experience: Experience with data governance initiatives and data quality management. 8. Metadata management and data lineage: Experience with managing metadata, including data definitions, data lineage, and data quality metrics, and ability to maintain data lineage across complex data systems. 9. SQL: Strong SQL skills, including experience with query optimization, indexing, and database performance tuning. Experience with stored procedures, triggers, and other database programming concepts. 10. NoSQL: Familiarity with NoSQL data modeling patterns for document-oriented databases. Job Description: 1. Data modeling experience: Minimum 12+ years of experience in data modeling, with a focus on Conceptual, Logical, and Physical Data Modeling (CDM, LDM, PDM). 2. Data modeling expertise: Strong understanding of data modeling concepts, including CDM, LDM, and PDM, and ability to apply them to various data storage technologies, including Oracle databases, relational databases, and document-oriented databases. 3. Data modeling tools: Proficiency in data modeling tools such as ER/Studio, Oracle Data Modeler, or similar tools. 4. Data mapping, integration, and synchronization: Experience with data mapping, integration, and synchronization, including data transformation, data quality, and ensuring data consistency across different systems. 5. DDD knowledge: Familiarity with Domain-Driven Design (DDD) principles and their application to data modeling. 6. Financial domain knowledge: Familiarity with financial domain industry models and quality standards is a plus. 7. Data governance experience: Experience with data governance initiatives and data quality management. 8. Metadata management and data lineage: Experience with managing metadata, including data definitions, data lineage, and data quality metrics, and ability to maintain data lineage across complex data systems. 9. SQL: Strong SQL skills, including experience with query optimization, indexing, and database performance tuning. Experience with stored procedures, triggers, and other database programming concepts. 10. NoSQL: Familiarity with NoSQL data modeling patterns for document-oriented databases. - IBMFG2JP00009267