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Data Engineer

Date: 23-Jan-2023

Location: Singapore, SG

Company: ST Engineering Group

Job Overview

The Data Engineer supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner.

The Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He/She designs, codes and tests data systems and works on implementing those into the internal infrastructure.



Job Responsibilities

  • Identify suitable data structures based on business needs to ensure availability and accessibility of data.
  • Determine technical system requirements based on data needs.
  • Keep abreast of latest technologies and products in database and data processing software, and technologies.
  • Build scalable data pipelines to extract, transform, load and integrate data.
  • Develop codes and scripts to process structured and unstructured data in real-time from a variety of data sources.
  • Test data pipelines for scalability and reliability to process high data volume, variety and velocity.
  • Implement and monitor data security and privacy measures on data solutions.
  • Consolidate and create data storage solutions for storage and retrieval of information.
  • Monitor data system performance.
  • Assist in the integration of data systems with existing infrastructure.
  • Develop tools to improve data flows between internal and/or external systems and the data warehouse.
  • Automate the data collection and analysis processes, data releasing and reporting tools.
  • Test data system configurations to increase efficiency.


Bachelor's or master's degree in Computer Science, Computer Engineering, Information Systems, Information Engineering, or equivalent
At least 5 years of data engineering experience.
Experience in building and optimizing data pipelines, architectures and data sets.
Experience working with stakeholders to identify business needs and analytics opportunities