Data Engineer

Currently, we are looking for Data Platform Engineer which would be based in Singapore.

Job Description & Requirements

Note: Only Singapore Citizens will be considered.

Budget: Up to SGD 8000

Summary

The role provides operational support for data platforms, working with product teams, vendors, and end-users to design, deploy, and integrate solutions. Responsibilities include ensuring compliance with IT security policies, establishing monitoring processes, onboarding projects for BI needs (data ingestion, visualization, governance), and conducting testing to maintain platform reliability and performance.

Responsibilities:

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization’s ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms.

Requirements:

• Bachelor Degree in Engineering or relevant
• Minimum 4-5 years of Data Engineering experience
• Python and SQL
• Data Visualisation tools - Tableau, Power BI or Informatica
• Experience in automation - Able to identify opportunities to automate operational tasks, streamline deployment via CICD, monitoring and incident response processes, and reducing manual intervention
• Exposure and knowledge in the following technologies will be advantageous:

Ansible, Python

Snowflake, Oracle, MS SQL, Denodo

AWS services

• Willing to learn attitude and keen to provide operational support on data platforms.