Back to Job Listings

Senior Data Engineer

SpringCube

Full time - Senior Associate/ Asst Manager

Artificial Intelligence AI

Singapore ( Onsite )

Published 2 weeks ago

Salary: SGD5,000 - SGD10,000

Contact Employer
  • Share:
  • ✕

    Added this job to list, send job list to your email

    Send
Send Feedback
Report This Job

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.

Senior Data Engineer

Company Overview

This organization is an artificial intelligence, data science solutions, and operations technology start-up focused on smart city solutions, with a current emphasis on Education and the Built Environment. They also have a thriving data science consulting and system integration practice and are expanding into new markets and domains. This is an opportunity to join a visionary company in a fast-paced, dynamic environment.

Job Description

A Senior Data Engineer is needed to contribute to the development and implementation of data-driven solutions for smart estate applications. The individual will be responsible for data analysis, report generation, and the development of data pipelines and analytics programs. This role requires strong analytical and programming skills, as well as the ability to work effectively with cross-functional teams.

Job Responsibilities

  • Responsible for data analysis and generate reports for estate sub-system performance.
  • Develop data set processes.
  • Develop analytics programs, machine learning algorithms, and statistical methods to make raw data useful for smart estate applications.
  • Identify ways to improve data reliability, efficiency, and quality.
  • Conduct research and explore innovative solutions.
  • Monitor compliance with project requirements, performance standards, and specifications.
  • Perform overall quality control of the work and report regularly on project status.
  • Cooperate and communicate effectively with the product development and operations team for implementation.

Job Requirements

  • Relevant Bachelor’s degree or equivalent in electrical/electronic engineering or computing.
  • 3+ years’ related field and project planning experience.
  • Excellent data science knowledge is required.
  • Programming skill in Python and Java experience is required.
  • Strong analytic skill is required.
  • Knowledge in data management is required.
  • Knowledge in ETL is preferred.
  • Must have strong written and verbal communication skills.
  • Able to work comfortably and independently in a fast-paced environment.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

Other Jobs You May Like

SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

Quick Links
Contact Us
Linkedin
Tell us how we can improve
feedback@springcube.com

Copyright 2024 ©SpringCube Tech Jobs Pte Ltd.

Linkedin
‹
 
Required 'Candidate' login to applying this job. Click here to logout And try again
 
 
 

Apply for this Job

  • Drop a resume file or click to upload.
    To upload file size is (Max 10Mb) and allowed file types are (.doc, .docx, .pdf)
    or
    Upload Resume
  • Upload Cover Letter

    To upload file size is (Max 3Mb) and allowed file types are (.doc, .docx, .pdf)

  • I accept the Terms, Community Guidelines and Privacy Policies

 

Account Activation

Before you can login, you must activate your account with the code sent to your email address. If you did not receive this email, please check your junk/spam folder. Click here to resend the activation email. If you entered an incorrect email address, you will need to re-register with the correct email address.

✕


      ✕

      You are already logged in as a .

      Logout