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Big Data Engineer – Recommendation Architecture

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.

Big Data Engineer – Recommendation Architecture

Responsibilities

  • Design and implement a reasonable offline data architecture for large-scale recommendation systems.
  • Design and implement flexible, scalable, stable, and high-performance storage and computing systems.
  • Troubleshoot production systems and design and implement necessary mechanisms and tools to ensure the stability of the overall operation of the production system.
  • Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
  • Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  • Visualize, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

  1. Bachelor’s degree or above in computer science, software engineering, or a related field.
  2. Familiar with many open-source frameworks in the field of big data, e.g., Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
  3. Familiar with Java, C++, and other programming languages.
  4. Strong coding and troubleshooting ability.
  5. Willing to challenge questions that have no obvious answers and have a strong enthusiasm for learning new technologies.
  6. Experience with Peta Byte level data processing is a plus.
  7. At least 3 years of relevant experience.

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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