Back to Job Listings

Big Data Development Engineer (Tea) – Data Platform

SpringCube

Full time - Associate/Junior Executive

Social Networking & Media

Singapore ( Onsite )

Published 1 week 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.

Company Overview

A global company that creates and shares short-form mobile videos. Their mission is to inspire creativity and bring joy. They have global offices including Singapore.

Big Data Development Engineer (Tea) – Data Platform

What you’ll be doing:

  • The individual will be responsible for the deployment, configuration, monitoring, and maintenance of big data platforms.
  • They will implement and optimize the infrastructure for big data storage, processing, and computation.
  • This role is responsible for architectural design, performance tuning, and troubleshooting of big data platforms.
  • The person will analyze and resolve complex system performance and stability issues to ensure system reliability and stability.
  • They will write technical documentation to record system configurations and operational procedures.
  • Compliance Requirement: Familiarity with and adherence to international data protection regulations; ability to formulate and execute compliance-oriented strategies.
  • Global Multi-Environment Deployment and Operations: Experience in deploying and maintaining big data platforms across multiple global locations; familiarity with cross-geographical operational challenges.
  • This role involves updating software, enhancing existing software capabilities, and developing and directing software testing and validation procedures.

Qualifications

Minimum Qualifications:

  • Bachelor’s Degree in Computer Science or related discipline with experience in software engineering, with 2 years of relevant experience.
  • 2 years experience in big data platform operations, familiarity with technologies such as Hadoop, Spark, Clickhouse, etc.
  • Solid programming skills, proficient in at least one programming language (e.g., Java, Scala, Python).
  • Strong foundation in computer science, familiarity with operating system principles, data structures, and algorithms.
  • Strong problem analysis and resolution skills, ability to respond quickly to emergencies.
  • Excellent teamwork and communication skills, experience in project management is a plus.

Preferred Qualifications:

  • 5 years of relevant experience as a data engineer
  • 5 years experience in big data platform operations, familiarity with technologies such as Hadoop, Spark, Clickhouse, etc.

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