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Big Data Engineer (Libra) – Data Platform

SpringCube

Full time - Associate/Junior Executive

Social Networking & Media

Singapore ( Onsite )

Published 3 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.

Company Overview

A global social media platform centered around short-form video content allows users to create, watch, and share short videos, typically ranging from a few seconds to three minutes (though some users can now post longer videos). It’s known for its personalized feeds, ease of video creation with built-in music, sound effects, filters, and special effects, and its highly engaging nature. In China, a separate version of the app with similar functionality caters to the Chinese audience.

Job Title: Big Data Engineer (Libra) – Data Platform

Responsibilities

As a Big Data Engineer, you will:

  • Be responsible for the data system operation and maintenance of an experimentation platform.
  • Construct PB-level data warehouses, participate in and be responsible for data warehouse design, modeling, and development.
  • Build ETL data pipelines and automated ETL data pipeline systems.
  • Build an expert system for metric data processing that combines offline and real-time processing.

Qualifications

Minimum Qualifications

  • Bachelor’s degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.
  • Proficiency with big data frameworks such as Presto, Hive, Spark, Flink, Clickhouse, Hadoop, and have experience in large-scale data processing.
  • Minimum 1 year of experience in Data Engineering.
  • Experience writing code in Java, Scala, SQL, Python or a similar language.
  • Experience with data warehouse implementation methodologies, and have supported actual business scenarios.

Preferred Qualifications

  • Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design, job scheduling and dimensional modeling.
  • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Presto, Flume, Kafka, ClickHouse, Flink or comparable solutions).
  • Work/internship experience in internet companies, and those with big data processing experience are preferred.

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.

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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.

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