Data Warehouse Engineer - Parvana



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Parvana IT / Telecom Jobs in Johannesburg


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Our client offers financial service solutions helping their clients achieve their dreams. With an emphasis on culture fit, they boast a dedicated team of over 600 employees, many with over a decade of tenure. They have built their culture on a feeling of togetherness, trust and respect and are always looking to support employees' continuous learning. Using Agile, they provide diverse services with a focus on research, innovation and improvement.

What you will be doing:

  • Design, develop, and modify database structures, relationships, data flows, and data interfaces within the data warehouse.
  • Analyse, create and modify data structures to adapt to business needs and add enhanced functionality.
  • Develop and modify ETL processes to load data from various sources into the data warehouse.
  • Use programming languages, software development methods, and best practices to develop new data warehouse structures and reports and modify existing ones.


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  • Unit test and debug code.
  • Participate in requirements gathering, analysis, technical design, testing, documentation and project planning.
  • Consult with clients to gather information about needs, objectives, and requirements.
  • Identify and propose technical solutions to client requests and system problems.
  • Follow department standards and create written documentation and diagrams as required.
  • Thorough understanding of data warehouse architecture, data structures, and fundamental design principles.
  • Ability to work independently with general supervision, which may include providing guidance and support to entry-level professionals or support staff.
  • Contribute to the development of data warehouses for clients in the Insurance, Lending, and Employee Benefits sectors.
  • Responsible for software development, production support, and providing expertise in Data Warehouse and Reporting Applications.

What our client is looking for:

  • A relevant tertiary degree would be ideal (Computer Science, IT, Data Science, Information Systems, etc.)
  • Strong interest in analytical/dimensional modelling, and data analytics tools. Insurance knowledge is a plus.
  • In-depth knowledge of business intelligence tools including data warehousing, and ETL (Extraction, Transformation, and Load). Yellowfin knowledge is beneficial.
  • Knowledge and understanding of the software development life cycle.
  • Knowledge and experience in relational databases, SQL, PostgreSQL.
  • Experience in database design and modelling for data warehouse and business intelligence applications, including relational database structures and normal forms.
  • Analytical and troubleshooting skills for complex technical issues and tasks.
  • Ability to present and explain complex technical topics, problems, and alternative solutions to others.
  • Experience estimating solution development and delivering solutions within those estimations.
  • Knowledge of Insurance Systems.
  • Experience with or knowledge of most of the following software, languages and tools, or similar products would be preferred: SQL Server DBMS, T-SQL (ANSI), PostgreSQL, Python.


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