Assistant Manager, Data Modelling

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Emirates NBD

Emirates NBD, the main Financial Gathering in the MENAT district, was shaped on 19 June 1963, when H.H. Late Sheik Rashid container Saeed Al Maktoum marked the Sanction of Joining of the Public Bank of Dubai (NBD) which turned into the principal Public Bank laid out in Dubai and the Assembled Bedouin Emirates (UAE).

Assistant Manager, Data Modelling – Job Vacancy – Dubai, United Arab Emirates

Emirates NBD – Dubai, United Arab Emirates

  • Job Location:- Dubai, United Arab Emirates
  • Company:- Emirates NBD
  • Education:- As Mentioned
  • Nationality:- Any Nationality
  • Gender:- Male / Female
  • Number of Vacant Positions:- Not Mentioned
  • Salary:- Negotiable
  • Job Type:- Permanent
  • Experience:- As mentioned in the Description

About Emirates NBD

Emirates NBD, the main Financial Gathering in the MENAT district, was shaped on 19 June 1963, when H.H. Late Sheik Rashid container Saeed Al Maktoum marked the Sanction of Joining of the Public Bank of Dubai (NBD) which turned into the principal Public Bank laid out in Dubai and the Assembled Bedouin Emirates (UAE). With the favors of H.H. Sheik Mohammed canister Rashid Al Maktoum, VP and Top state leader of the UAE and Leader of Dubai, NBD converged with Emirates Bank Global (EBI) on 06 Walk 2007, to frame Emirates NBD, the biggest financial gathering in the district by resources. On 16 October 2007, the portions of Emirates NBD were authoritatively recorded on the Dubai Monetary Market (DFM). The consolidation among EBI and NBD to make Emirates NBD, turned into a territorial union outline for the banking and money area as it joined the second and fourth biggest banks in the UAE to frame a financial boss equipped for conveying improved esteem across Corporate, Retail, Islamic, Speculation, and Confidential Banking, Worldwide Business sectors and Depository, Resource The executives and Financier tasks all through the locale.

In 2013, Emirates NBD commended its 50th commemoration, denoting the Gathering’s extraordinary accomplishments while featuring the bank’s strong authentic and monetary establishments as well as its promising future.

As at 30th September 2022, complete resources were AED 721 Billion, (identical to approx. USD 196 Billion). The procurement of DenizBank addresses a critical achievement for Emirates NBD with the Gathering extending its presence to 13 nations, adjusting more than 17 million clients. The Gathering is positioned among the main 20 in the Forbes’ rundown of the World’s Best Respected Organizations, getting a main spot among worldwide brands.

The Gathering has a huge retail banking establishment in the UAE and is a critical member in the worldwide computerized financial industry with 94% of every monetary exchange and demands directed beyond its branches. The Gathering likewise works Liv., the way of life advanced bank for twenty to thirty year olds kept on being the quickest developing retail suggestion in the UAE and KSA.

About Emirates NBD

 

Job – Assistant Manager, Data Modelling

Job Description:

The purpose of data governance function is to ensure the group’s data assets are proactively and efficiently managed to ensure high level of trust in the organization’s data. To enable the business units to drive value through its use.
Finance systems unit is responsible for ensuring optimal finance systems architecture and design. The unit is responsible for delivering finance systems related initiatives, upgrades and maintenance in active partnership with Group Technology teams.

  • Strong implementation and understanding of Enterprise Data Warehouse Modelling in Banking Industry.
  • Hands on exposure to Industry Standard 3NF Logical Data Models such as IBM BDW, SAP FSDM, and Teradata FSLDM etc.
  • Intermediatelevel understanding of Banking as a domain. Exposure and working experience with Banking Applications Systems such as Core Banking, Retail Application Systems, and Treasury System etc.
  • Strong implementation and understanding of Data Hub and modelling experience in Banking Industry.
  • Expert knowledge in database and information modelling ER, Dimensional, Physical, Conceptual, Logical, Virtual, hierarchical, semantic, etc.
  • Experience converting the LDM to PDM including demoralizations where required and selection of optimum data types and lengths.
  • Experience / exposure to Data Lake, Kafka, Informatica Data Management, Power Center and Big Data management is an advantage.
  • 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.
  • 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 in-memory databases such as SAP HANA and other relational or OLAP database such as Oracle, SQL Server and others.
  • Knowledge and exposure to ETL tools: Informatica, ODI or similar ones will be an advantage.
  • Must have hands-on experience in designing data ingestion and consumption capabilities out of data lake / federated repositories
  • Ability to manage and drive team, make effective communication, presentation and stakeholder management skills.
  • Ability to effectively use project management, word processing and spreadsheet applications

Job Qualifications:

Specifications:

A.  Education:       Master in Business Administration (M.B.A.) or B.E. or post graduation in information technology with hands-on experience in Banking Data Domain

B.  Experiences:       Overall 5 to 7 years of relevant experience in Data Modelling and Data Warehouse implementation.

Strong Subject Matter Expertise in Key functions like Retail & Wholesale banking, Finance & Risk.
Deep Banking Functional Knowledge
Strong understanding of Banking products, product characteristics / behavior and typical key banking applications.

Good understanding of Data Governance Principles

“Enterprise Data Warehouse” – experience from a functional & data perspective

  • Good understanding of overall “Enterprise Data Warehouse” architecture and principles; Experience in delivering end to end data warehouse for Banks
  • Experience on working with both Industry Standard Data Model and Custom Data Warehouse Data Models in Banks; Detailed understanding of key Banking subject areas in an industry standard data model

C.  Knowelge & Skills:   Good understanding of systems and prior experience of having played the role of a functional solution architect.

D.  Behavioral Competencies:

  •   Self-starter and be able to work independently;
  •   Self-motivated; Attitude to learn new concepts and apply the same
  •   Proactive and Goal oriented
  •   Strong team player
  •   Stakeholder and team management and Good communication skills

 

 

 

 

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