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A leading risk solutions provider in South Africa is looking for a Full Stack Data Warehouse Developer. In this role, you will design and implement Data Warehousing solutions while ensuring data quality and managing projects. You must have extensive experience in ETL processes, Power BI, SQL, and be adept in leading junior team members. This position offers a chance to work in a dynamic environment focused on innovation and improvement.
Posted today
Guardrisk is the undisputed market leader in cell captive insurance and risk solutions. We are renowned for our innovative approach to cell captive structures and other alternative risk transfer solutions for our clients. Guardrisk offers clients custom designed cover and is registered in South Africa as an insurer for all statutory classes of non-life and life insurance business.
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You will be responsible for designing and developing ETL, data integration, data warehouse, performance tuning, data modelling and business intelligence reporting modules to deliver quality Business Intelligence solutions to the business while ensuring that quality and standards are realised and met by junior team members.
Posted 109 days ago
Permanent.
About our client: 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. 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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