Vacancy expired!
- 10 + years IT experience, with focus on Data Modeling, Data solutioning
- Deep functional Knowledge in Retail Banking a key requirement
- Experience working with Industry Reference Data Models primarily financial data models
- 8+ years’ experience with SQL (ability to read/write/manipulate queries)
- 8+ years of strong solution architecture experience in variety of IT positions. Recent 5+ years of experience must be on solution/systems/ enterprise architecture with large scale complex IT systems
- 5+ years’ experience working in an Agile/Scrum environment
- Build Relational and Dimensional Models for Integration Layer, Semantic Layer & Audit Layer. (proficiency in Kimball)
- Building Industry based Reference Data Models for Large Banks
- Design and Build Conceptual, Logical, Physical Data Models and Create Physical Data Structures (DDLs).
- Create Source to Target Data Mapping rules with the business transformation rules by discussing with business users.
- Extensive experience in managing cross functional teams, leading the development, gathering Business Requirements, Analysis, Design, and Implementations of various functionalities of Data Warehouse, Business Intelligence, ERP applications and Big Data- Hadoop Solutions.
- Expert in Agile Data Warehouse, Enterprise Architecture using Industry model Framework Methodology, Data Modeling using E/R and Dimension Models, Conceptual, Logical and Physical Models for large scale DW and DL implementations.
- Expertise in the design of the Conceptual, Subject area Logical and Physical Data Models using Erwin and/or ER Studio Suite.
- Experience in Data model design frameworks and techniques pioneered by Ralph Kimball and Bill Inman.
- Experience in Industry Financial or/and Insurance Data Models: Teradata FSLDM and IBM BDW data Model Frame works and Insurance ACORD framework and capability models.
- Experience in knowledge of MapReduce, HBase, Pig, MongoDB, Cassandra, Impala, Oozie, Mahout, Flume, Zookeeper/Sqoop and Hive
- Strong database fundamentals including SQL, performance, and schema design.
Vacancy expired!