Updated: 2023-09-12

Professional Data Engineer

Sydney

  • Publié 4 ans
  • Anglais
  • Début prévu du projet: ASAP

Assignment Details

Key responsibilities:

  • Build data-consumption layer objects
  • Understand, analyse and size user requirements
  • Development and maintenance of technical mappings for use in automated generation of data assets * Identify and build enhancements to automated DevOps pipelines
  • Development and maintenance of system documentation
  • Collaboration with data consumers, database development, testers and IT support teams Expected

Deliverable:

  • Assigned tasks for a given sprint
  • Work items placed into a product backlog
  • Consumption layer objects as per specification
  • Efficient and self-documenting code produced
  • Design documentation
  • Must be able to obtain Baseline Security clearance

Technical Competence:

Base SAS / Teradata / RDMBS - ability to develop or review code Data warehousing - Understanding of analytic architecture concepts and processes Ability to understand DevOps High level of competency in Programming, including knowledge of supplementary programming languages such as Python or Groovy Version control

Cultural Competence:

We want to ensure we are both a good fit, you will have:

  • A positive contemporary attitude to people with disability
  • Like working in a team and are able to adapt quickly in a changing environment
  • Ability to communicate effectively and produce clear, accurate documentation

Service Orientation:

  • Commitment to achieving positive outcomes for this schemes / Government Department's users and participants and the Scheme / This Department itself.
  • Ability to respond to and prioritize competing and often urgent requests in a calm and efficient manner while also maintaining high work standards and accuracy.
  • Ability to manage confidential and sensitive information
  • Leadership
  • Ability to provide a mentor role within the team.

Desirable criteria

Experience with any of the following technologies:

  • Teradata GCFR Framework
  • Teradata UDI studio
  • Control-M scheduler
  • Jenkins
  • VMWare, Linux and Windows
  • Atlassian suite (on-prem): JIRA, Bamboo, Bitbucket, Confluence, Crucible, Fisheye
  • Frameworks: Django, React, Selenium, NodeJS

Overview

Localisation Sydney
Charge de travail 40 Heures/semaine , 100% sur place
Début prévu du projet ASAP
Fin prévu du projet 2021-05-31
Langues nécessaires Anglais
Compétences nécessaires Bitbucket, DevOps, ENGINEER, Teradata, data

Affectation fermée

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