DevOps
1 week ago
**Roles and Responsibilities**
Part of the team to take on the exciting and challenging role of delivering and maintaining an agency-wide data warehouse and analytics project using AGILE software development methodology.
- Maintain the data warehouse and analytics platforms on both on-premise data centre as well as on cloud.
- Develop automation code for testing and deployment using Azure DevOps, Bamboo, Git and various testing tools for the data platforms.
- Perform automated deployments to existing or new infrastructure environments
- 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 Machine Learning Server.
- Plan, design, build and maintain development environment which includes SSIS,.net, Visual basic, SSMS, etc.
**Knowledge and Skills**
- 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 SQL 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 CI/CD pipeline using Azure DevOps, Bamboo, Bitbucket, Sonarqube, Fortify and Nexus
- 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
- Server Virtualisation (VMWare VSphere family of products) and container technology
- Data Virtualisation technology
- Agile continuous integration tools
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