Profession knowledge engineer

Software or multimedia developers and analysts, all other, include those professionals specialising in quality assurance including software testing.

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Personality Type

  • Investigative / Enterprising

Related professions software

  • IT applications programmer
  • IT consultant
  • IT department manager
  • IT information analyst
  • IT project leader
  • IT sales professional
  • IT software engineer
  • IT software tester
  • IT systems analyst

Knowledge

  • Business process modelling

    The tools, methods and notations such as Business Process Model and Notation (BPMN) and Business Process Execution Language (BPEL), used to describe and analyse the characteristics of a business process and model its further development.

  • Database development tools

    The methodologies and tools used for creating logical and physical structure of databases, such as logical data structures, diagrams, modelling methodologies and entity-relationships.

  • Systems theory

    The principles that can be applied to all types of systems at all hierarchical levels, which describe the system's internal organisation, its mechanisms of maintaining identity and stability and achieving adaptation and self-regulation and its dependencies and interaction with the environment.

  • Resource description framework query language

    The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).

  • Web programming

    The programming paradigm that is based on combining markup (which adds context and structure to text) and other web programming code, such as AJAX, javascript and PHP, in order to carry out appropriate actions and visualise the content.

  • Task algorithmisation

    The techniques to convert unstructured descriptions of a process into step-by-step sequence of actions of a finite number of steps.

  • Information structure

    The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.

  • Systems development life-cycle

    The sequence of steps, such as planning, creating, testing and deploying and the models for the development and life-cycle management of a system.

  • Principles of artificial intelligence

    The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories.

  • Business intelligence

    The tools used to transform large amounts of raw data into relevant and helpful business information.

  • Information extraction

    The techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources.

  • Natural language processing

    The technologies which enable ICT devices to understand and interact with users through human language.

Skills

  • Manage ICT semantic integration

    Oversee integration of public or internal databases and other data, by using semantic technologies to produce structured semantic output.

  • Manage business knowledge

    Set up structures and distribution policies to enable or improve information exploitation using appropriate tools to extract, create and expand business mastery.

  • Use markup languages

    Utilise computer languages, that are syntactically distinguishable from the text, to add annotations to a document, specify layout and process types of documents such as HTML.

  • Manage database

    Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.

  • Assess ICT knowledge

    Evaluate the implicit mastery of skilled experts in an ICT system to make it explicit for further analysis and usage.

  • Create semantic trees

    Create coherent lists and hierarchies of concepts and terms to ensure consistent indexing in knowledge organisation systems.

  • Define technical requirements

    Specify technical properties of goods, materials, methods, processes, services, systems, software and functionalities by identifying and responding to the particular needs that are to be satisfied according to customer requirements.

  • Apply ICT systems theory

    Implement principles of ICT systems theory in order to explain and document system characteristics that can be applied universally to other systems

  • Analyse business requirements

    Study clients' needs and expectations for a product or service in order to identify and resolve inconsistencies and possible disagreements of involved stakeholders.

Optional knowledge and skills

visual studio .net apl data mining matlab r haskell javascript ict project management linq pascal (computer programming) n1ql unstructured data decision support systems define database physical structure information architecture objective-c microsoft visual c++ perl create database diagrams computer programming assembly (computer programming) java (computer programming) information categorisation build business relationships groovy openedge advanced business language cobol scala sparql prolog (computer programming) smalltalk (computer programming) abap coffeescript lisp vbscript common lisp ruby (computer programming) python (computer programming) erlang ict security legislation design database scheme ajax design application interfaces sap r3 cloud technologies cognitive psychology scratch (computer programming) c# utilise decision support system php asp.net sas language swift (computer programming) typescript c++ ml (computer programming) visual presentation techniques