Thursday, October 5, 2023

Specialist: Data Architecture and Modelling at CRDB Bank Plc Tanzania

  AjiraLeo Tanzania       Thursday, October 5, 2023
AJIRA LEO TANZANIA
CRDB Bank Plc
Jobs in Tanzania 2023: New Job Opportunities at CRDB Bank Plc, 2023

CRDB Bank Plc Jobs, 2023
Background
CRDB Bank Plc is an African bank and a leading Financial Services Provider in Tanzania with current presence in Tanzania and Burundi, East Africa. The Bank was established in 1996 and was listed on The Dar Es Salaam Stock exchange (DSE) in June 2009.

Over the years, CRDB Bank has grown to become the most innovative and preferred financial services partner in the region. Supported by a robust portfolio and uniquely tailored products, CRDB Bank remains the most responsive bank in the region.
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CRDB JOB OPPORTUNITIES OCTOBER, 2023
We are a collection of individuals who believe in excellence. We are always on the look out for fresh talent and we hiring people who have the drive to succeed and the will to implement the discipline required to succeed. We focus on nurturing our team and providing our team with an environment that is conductive to creative thought.

Career Opportunities: Specialist; Data Architecture and Modelling (2604)
Requisition ID
2604
Line Manager- Manager, Data Management Operations
Department- ICT
Location- HQ

Job Summary
Design, implement, and document data architecture and data modelling solutions, which include the use of relational, dimensional, and NoSQL databases to support enterprise data management, business intelligence, machine learning, data science, and other data-related initiatives.
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Key responsibilities:
  • Create data conceptual models and logical data models for each data asset.
  • Establish data mapping to all the source systems tables and fields that store data assets.
  • Analyze structural data requirements for new software and applications.
  • Develop migration plans of data from legacy systems to new solutions.
  • Design conceptual and logical data models and flowcharts.
  • Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
  • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
  • Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
  • Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
  • Work proactively and independently to address data-related project requirements and articulate design/modelling issues/challenges to reduce delivery risks.
  • Be responsible for the development of the conceptual, logical, and physical data models, OLTP RDBMS, operational data stores (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
  • Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
  • Engage with users during development and testing activities
  • Conceptualize, execute, and refine design specifications in the form of process flows, information architecture, wireframes, prototypes, and functional design specs.
  • Understand complex customer data, business goals, and requirements, and translate them into functional and technical designs.
  • Create customer-centric designs that meet organizational and user requirements.
  • Work closely with Data Architects in the development of stored procedures as well as data integrations and aggregation.
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Experience, Knowledge and Skills Requirements
  • Bachelor’s degree in data science, Information Systems/ Computer Science or related discipline from a recognized university.
  • Minimum of 3 years of experience in data design and modelling.
  • Proven work experience as a Data Architect, Data Modeler or similar role.
  • In-depth understanding of database structure principles.
  • Experience gathering and analyzing system requirements.
  • Experience in data mining and modelling techniques.
  • Experience in SQL and Oracle.
  • Knowledge in data architecture, data warehousing, master data management, enterprise information integration and ETL using a cross-section of technologies and programming languages.
  • Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols.
Deadline 18th Oct 2023
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