80389998 - Engineer, Data

Location: ZA, GP, Johannesburg, Simmonds Street
The purpose of this role is to construct data acquisition, warehousing and reporting solutions. The role is expected to provide technical solutions in response to the needs of stakeholders by interpreting business requirements; defining solution; defining build and test tasks; constructing solutions; performing testing; participating in the deployment of solutions and ensure the systems meet immediate business requirements by providing third tier support and constructing enhancements to systems in Production.
The role is should construct and document solutions according to applicable architecture, solution designs, standards, policies and governance requirements; utilise DevOps practices and tools as member of an agile team with T-roles; clearly define tasks with delivery effort estimates; contribute effectively to lean management practices and iteration ceremonies; provide third Tier support when required and deliver enhancements to Production systems in the Data Management Feature Team portfolio.
Qualifications
Qualifications: Certification in MS SQL (including SSRS, SSAS and SSIS.A degree inIT and Computer Sciences.Experience: Building databases, warehouses and reporting solutionsOperating within an agile teamWorking with Risk Management data in Financial Services industry Additional Information Key Responsibilities: Define a task sequence that delivers value to business promptly by applying lean management, Minimum Viable Product (MVP) and iterative delivery concepts.Ensure tasks are clearly scoped, with defined acceptance criteria, to ensure clarity of what is required to complete work.Define and performing appropriate unit and integration tests to ensure no errors are produced during and after deployments.Define tasks with effective sizing of the effort required to deliver to contribute to predictable delivery and velocity management.Provide lean documentation to reflect the solution design and capture data management artefactsIncorporate standard requirements – such as data quality control and future proofing – into task definition and deliveryEnsure applicable standards are addressed in the solution designApply best data integration, warehousing and reporting practices while utilizing MS SQL 2016 technology
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