Data Warehouse Specialist

2 weeks ago


Pretoria, Gauteng, South Africa Companies & Intellectual Property Commission Full time

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Data Warehouse Specialist

Job Grade:
P9


Ref No:
D010001


Remuneration:

R
Total Cost to Company p/a**
Job Purpose:To manage the design, build and implement an effective data warehouse for the business and to maintain the data architecture.


Required minimum education/training:

  • An appropriate degree, preferably a BSC, Computer Science or equivalent
    Required minimum work experience:
  • At least 6 years' experience preferably in Data Warehouse Management and Business Intelligence.
  • Strong understanding of relational database structure, theories, principles, and practices.
  • Responsible for defining the complete data warehouse architecture (i.e. ODS, ETL process, Data Marts, EDW)
  • Strong reporting background and solid data warehouse experience.
  • Knowledge of Data Analysis and Data Processing.
  • Knowledge in utilizing a datadriven approach to diagnosing and solving problems

Key performance areas:

  • To manage the design, building and implementation of an effective data warehouse for the business and to maintain the data architecture.
  • To make input into operating policies, procedures and guidelines;
  • To report on performance and to identify and escalate performance constraints;
  • Define data and technical architectures and technical requirements for the data warehouse.
CIPC reserves the right not to fill an advertised position.

Closing date: 14 June
2023

Required minimum education/training:

  • An appropriate degree, preferably a BSC, Computer Science or equivalent
    Required minimum work experience:
  • At least 6 years' experience preferably in Data Warehouse Management and Business Intelligence.
  • Strong understanding of relational database structure, theories, principles, and practices.
  • Responsible for defining the complete data warehouse architecture (i.e. ODS, ETL process, Data Marts, EDW)
  • Strong reporting background and solid data warehouse experience.
  • Knowledge of Data Analysis and Data Processing.
  • Knowledge in utilizing a datadriven approach to diagnosing and solving problems


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