Job Overview Business Segment: Insurance & Asset Management Location: ZA, GP, Roodepoort, Ellis Street 4 Job Type: Full-time Job Ref ID: 80435757A-0001 Date Posted: 11/7/2024Job Description:To develop and maintain complete data architecture across several application platforms, providing capability across application platforms. To design, build, operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies and governance requirements, thus making data accessible for the evaluation and optimisation for downstream use case consumption. To execute data engineering duties according to standards, frameworks, and roadmaps.Qualifications:Minimum Qualifications:Type of Qualification: First Degree Field of Study: Business Commerce Type of Qualification: First Degree Field of Study: Information Studies Type of Qualification: First Degree Field of Study: Information TechnologyExperience Required:5-7 years of experience in building databases, warehouses, reporting and data integration solutions. Experience building and optimising big data data-pipelines, architectures, and data sets. Experience in creating and integrating APIs. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.8-10 years of deep understanding of data pipelining and performance optimisation, data principles, and how data fits in an organisation, including customers, products, and transactional information. Knowledge of integration patterns, styles, protocols, and systems theory.8-10 years of experience in database programming languages including SQL, PL/SQL, SPARK, and/or appropriate data tooling. Experience with data pipeline and workflow management tools.Additional Information:Behavioral Competencies:Adopting Practical Approaches, Articulating Information, Checking Details, Developing Expertise, Documenting Facts, Embracing Change, Examining Information, Interpreting Data, Managing Tasks, Producing Output, Taking Action, Team Working.Technical Competencies:Big Data Frameworks and Tools, Data Engineering, Data Integrity, Data Quality, IT Knowledge, Stakeholder Management (IT).Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or ******.
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