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Data Engineer – Geospatial Analytics Solutions Development

SpringCube

Full time - Senior Associate/ Asst Manager

Electronics & Semiconductor

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Engineer – Geospatial Analytics Solutions Development

Company Overview
A global leader in technology, defense, and engineering, with a strong presence across Asia, Europe, the Middle East, and the U.S. This organization leverages technology and innovation to address real-world challenges, with a diverse portfolio across aerospace, smart cities, defense, and public security. Headquartered in Singapore, it ranks among the largest companies on the Singapore Exchange.

Job Description
Join a dynamic team within the Geo-Insights line of business, focusing on providing data analytics solutions for maritime, agriculture, and sustainability applications. As a Data Engineer, you will collaborate with cross-functional teams to design, build, and maintain data pipelines while ensuring high-quality geospatial analytics solutions that meet client needs.

Responsibilities

  • Utilize big data tools and platforms to develop and maintain scalable, robust, and reliable data pipelines.
  • Troubleshoot and resolve any issues in data pipelines to ensure smooth data flow.
  • Design and manage geodatabases, feature classes, and datasets with a focus on data integrity and efficiency.
  • Collaborate with cross-functional teams to understand data requirements and implement appropriate data processing workflows.
  • Stay current with emerging trends and best practices in data management and implement them into your work.
  • Publish map services, feature services, and geoprocessing services, ensuring the security and performance of these services.
  • Provide technical innovation and support to the team, offering coding assistance and creative solutions to meet project goals.
  • Design and implement advanced analytics solutions for efficiently processing high-volume streaming and batch datasets.

Requirements

  • Proficiency in data pipeline tools such as Airflow, Kafka, and MLFlow.
  • Experience with machine learning and deep learning technologies is a plus.
  • Familiarity with frameworks like Flask, NodeJS, or others, as well as containerization for rapid prototyping.
  • Strong motivation, proactivity, independence, and results-oriented mindset.
  • Applicants must be Singaporean.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

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