{"id":68259,"date":"2021-10-06T09:00:46","date_gmt":"2021-10-06T07:00:46","guid":{"rendered":"https:\/\/joblistsouthafrica.com\/?p=68259"},"modified":"2021-10-06T18:54:59","modified_gmt":"2021-10-06T16:54:59","slug":"capfin-sa-ongoing-employment-opportunity-apply-now","status":"publish","type":"post","link":"https:\/\/joblistsouthafrica.com\/capfin-sa-ongoing-employment-opportunity-apply-now.html","title":{"rendered":"Capfin SA Ongoing Employment Opportunity – Apply Now!"},"content":{"rendered":"
We are searching for a skilled Lead Data Engineer who is eager to join our Credit Risk and Decision Support department. Our environment is fast moving, focused, structured and collaborative. As a Lead Data Engineer, you will responsible for creating business value by leading a team that apply data engineering and data management disciplines to design and build data solutions that enable data driven decision support, in order to optimize business decisions and processes.<\/p>\n
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Job Title: Lead Data Engineer<\/strong> Job Summary:<\/strong> Requirements:<\/strong> You will also be required to display the following behavioural competencies:<\/strong> Qualifications:<\/strong> Experience:<\/strong> You are welcome to apply should you meet the minimum requirements as outlined. Should you be interested in applying yourself, please apply online via Capnet.<\/p>\n
\nLocation:<\/strong> Kuilsrivier, Western Cape, South Africa
\nReference #:<\/strong> Lead Data Engineer
\nContract Type:<\/strong> Permanent<\/p>\n
\n\u2022Sourcing Data: Identify data sources and work with source systems owners
\n\u2022Loading Data: Design, implement and optimise data loads using ETL techniques
\n\u2022Storing Data: Design and implement warehouse data models with modelling techniques
\n\u2022Enhancing Data: Design and implement aggregated data structures with appropriate indexing on tables to enhance system performance
\n\u2022Managing Data: Design and implement data monitoring solutions and procedures to support data quality. growth and usage
\n\u2022Managing appropriate systems and technology within the data environment<\/p>\n
\nTo excel in our environment, you would require experience in the following:
\n\u2022Databases: MS SQL Server, MySQL
\n\u2022Microsoft business intelligence data technologies: SSIS, SSAS)
\n\u2022Data analysis
\n\u2022Data modelling
\n\u2022Data warehouse concepts and best practices<\/p>\n
\n\u2022Information gathering and problem analysis
\n\u2022Applying professional \/ specialist \/ technical expertise
\n\u2022Creating and innovating
\n\u2022Quality & detail orientation
\n\u2022Planning and organizing
\n\u2022Presenting and communicating information
\n\u2022Leadership and coaching skills<\/strong><\/p>\n
\n\u2022Degree in information technology \/ mathematics \/ engineering \/ actuarial science or related discipline.<\/p>\n
\n\u20228+ Years in a technical data role, preferably in a formal data, data warehouse or business intelligence environment. Previous management experience desirable but not essential.<\/p>\n