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Engineer, Software

2 weeks ago

Johannesburg Metropolitan Area, South Africa Stanbic Bank Tanzania Full time R500 000 - R1 200 000 per year

Job Description
To design, code, test, debug, and maintain programs in development environments. Apply agreed standards and tools, to achieve a well-engineers result. Work within a strict framework of programming standards under supervision of senior technical resources.

Qualifications

  • A Degree in Information Technology is required.

Experience

  • 5-7 years Broad experience in translating business and functional requirements into technical specifications and developing the programming code to create the solutions.
  • 8-10 years Proven experience in modern engineering practices i.e. dev ops, agile etc., Proven experience across multiple, broad IT Engineering disciplines, with demonstrated specialisation in at least one. Experience within the required scope of expertise.
  • Azure Cloud Experience: Hands on experience of Infrastructure as a Service (IaaS), Platform as a service (PaaS).
  • Data engineering skills using Azure Synapse Analytics Studio.
  • Data modelling and Extract, Transform and Load process (ETL) experience
  • Experience of Azure DevOps and SAFe agile practices.
  • Azure cloud knowledge - Build and support cloud platform (IaaS and PaaS).
  • Knowledge of data engineering tools in Microsoft Azure e.g. Synpase, Azure data factory
  • Knowledge of Azure DevOps setup and management.
  • Knowledge of MS Fabric is preferred

Additional Information

Key Responsibilities

  • Adhere to application lifecycle management accountabilities, architectural platforms and guardrails and ensure that all activity is digitally recorded and tracked to enable continuous delivery and development in the engineering environment, by effectively collaborating with stakeholders to deliver on required target to add value to the clients.
  • Adopt and adhere to suitable and agreed development methodologies and principles through work outputs and behaviours that enables continuous delivery and development across the production environment as well as ensuring effective collaboration with all colleagues and stakeholders in order to meet required targets and therefore deliver value to the customer.
  • Develop code, build, assemble, implement, test and perform data conversion for applications and ensure that processes are accurately documented. Perform system enhancements for the applications as required to ensure the delivery of the engineering function.
  • Construct, interpret and execute moderate to complex end to end system and program tests to verify correct operation of completed systems, to ensure that technical requirements are adhered to and test execution activities to ensure seamlessly and effective implementation engineering systems.
  • Contribute to programmes and platforms for the processing, analysis and visual display of data, integrating new and existing data sources and ensuring the validity and reliability of data to support data driven decision making as required. Ensuring continuous deployment and operation to deliver the engineering objectives.
  • Develop, complete and update all required documentation as per the scope, including guidelines and checklists for development and testing purposes, to ensure that that the state and quality is clearly communicated and documented.
  • Engage with leads to receive feedback on work completed and communicate any concerns, issues, risks and progress regarding work output to enable a culture of continuous development and learning and aim to resolve all issues and risks.

Behavioural Competencies

  • Adopting Practical Approaches
  • Articulating Information
  • Checking Things
  • Developing Expertise
  • Documenting Facts
  • Embracing Change
  • Examining Information
  • Interpreting Data
  • Managing Tasks
  • Producing Output
  • Taking Action
  • Team Working

Technical Competencies

  • Agile Engineering
  • API Engineering
  • Automation
  • Cloud Computing
  • Continuous Delivery (CD)
  • Continuous Deployment
  • Continuous Integration (CI)
  • Core Systems
  • Data Engineering
  • Design Thinking
  • Error Budgets
  • Incident Response
  • Infrastructure as Code (IaC)
  • Knowledge Management
  • Microservices
  • Non-abstract Large System Design (NALSD)
  • Observability (Application and Web Analytics)
  • Platform Engineering
  • Policy as Code
  • Post-incidence Analysis
  • Reliability and Resilience
  • Security Engineering
  • Service Level Management
  • Software Engineering Methods
  • Software Engineering Service Level Management
  • Software Engineering Tools
  • Software Foundations
  • System Integration
  • Test-driven Design (TDD)
  • Threat Modelling