DevOps (Up to $8,000)

Location: Central Region
Job Type:test Temporary / Contract
Reference: JO-2103-10856

Job description:

  • Setup and maintain the organisation’s data warehouse and analytics platforms on both onpremise data centre as well as on cloud.
  • Setup and maintain DevOps tools, including Azure DevOps, with integration to the data
  • platforms
  • Develop automation code for testing and deployment for the data platforms
  • Maintain data warehouse and analytics development platform including SQL databases, SQL server Analysis Services (SSAS), MS Sharepoint, Power BI, Tableau and Machine Learning applications on agency data centre
  • Perform automated deployments to existing or new infrastructure environments
  • Build continuous integration and delivery pipeline for applications
  • Work with the team to support existing system and integration of new components in the system
  • Maintain existing infrastructure which includes Windows-based servers, SQL databases,
  • Power BI, Sharepoint, SQL Server Integration Services (SSIS), SQL Server Analytics Services (SSAS), and R.
  • Plan, design, build and maintain development environment which includes SSIS, .net, Visual basic, SSMS, etc.
  • Liaise with 3rd party software, hardware and application vendors to manage and resolve incidents and technical issues

Job requirement:

  • Tertiary Education in relevant fields is preferred
  • Hands on experience in setting up and maintaining CI/CD platform, such as Azure DevOps, Git/Github or other related CI/CD tools.
  • Hands on experience in writing automation scripts for automated deployment for ETL packages, database tables, and analytics programs using R and Python.
  • Hands on experience in design, implementation, administration and support of data platforms such as Snowflake, SQL/Synapse, and Aurora Postgres database. Related certifications will be an advantage.
  • Hands on experience in setting up and maintaining a data warehouse/lake solution on the cloud and in a data centre.
  • Hands on experience in supporting Microsoft technologies, preferably for Business Intelligence and data management using tools such as Microsoft SQL SSIS, SSAS, Power BI, R, Sharepoint.
  • Experience in one or more of the following:
    • Building data pipelines using Python, AWS Glue, AWS Lambda, SQL Server Integration Services (SSIS)
    • Unix scripts for secure file transfers
    • Data security
    • Secure code review, Automated Testing
    • Big Data platform, AWS S3 or Azure Object Store
    • Maintaining visualisation tools such as Power BI or Tableau, and Machine Learning applications
    • Server Virtualisation (VMWare VSphere family of products) and container technology
    • Data Virtualisation technology
    • Agile continuous integration tools • Good team player