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, 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
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.
Passionate in championing the team to continuously improve and deliver quality software product.

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