Sundus Recruitment and Outsourcing Services
QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:
Experience taking the Logical Data Model to a ‘first cut’ Physical Data Model including demoralizations where required and selection of optimum data types and lengths.
Experience with Cloudera Data Lake, Kafka, Informatica Data Management, PowerCenter and Bigdata management is a must.
Strong implementation and understanding of EDWH dimensional Modelling for banking industry
Strong implementation and understanding of Data Vault 2.0 modelling for banking industry
Experience in Real-time Data Modelling is a must
Experience transforming Business Intelligence requirements into semantic layer models
Full working experience of SQL and the ability to identify and translate user cases into Hadoop is essential.
Expert knowledge in database and information modelling ER, Dimensional, Physical, Conceptual, Logical, Virtual, hierarchical, semantic, etc.
Working knowledge in technical aspects of DW Governance including glossary, metadata, data quality, master data management and data lifecycle.
Experience with modelling tools like Power designer, ERWIN, etc
Experience working with relational or OLAP database: Oracle, SQL Server, DB2, Teradata, Netezza
Knowledge and experience with ETL tools: Informatica, MSBI (SSIS), Informatica, ODI..
Must have hands-on experience in designing data ingestion and consumption capabilities out of data lake / federated repositories
Design and Implement BI and Analytics capabilities using already enabled Big Data technologies
Strong Understanding of data management and data governance concepts
Ability to effectively use project management, word processing and spreadsheet applications.
Hands-on experience with BigData technologies including data ingestion and consumption capabilities.
To apply for this job please visit www.bayt.com.