Job Description:
- 10+ years of hands-on relational, dimensional, and/or analytic experience (using ORACLE + other RDBMS, dimensional, NoSQL
- Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
- data platform technologies, and ETL and data ingestion protocols).
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-centre contexts required.
- Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) required.
- Should be able convert vast amount of data via effective data modelling and advance analytics
- Should be able apply data mining techniques, data analysis and high-quality prediction
- Should be having strong banking knowledge with retail banking
- Experience in ETL , data warehousing
- Experience in Data modelling (conceptual, logical and physical data model)
- Experience in implementing physical data models
- Experience in designing Star, Snowflake schemas and data marts
- Good exposure to NoSQL Databases , BigData technologies
- Experience in dimensional modelling entity relationship data modelling
- Experience in team management, communication, and presentation.
- Domain - Banking finance services with Retail banking experience