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Data Engineer, Video Architecture

SpringCube

Full time - Senior Associate/ Asst Manager

IT Services & Consulting

Singapore ( Onsite )

Published 3 weeks ago

Salary: Disclosed upon interview

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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, Video Architecture

Company Overview
This global innovator is a leading force in commerce, content, entertainment, and enterprise services, reaching over 2.5 billion users globally. The company fosters a culture of creativity, offering platforms designed to inspire and enrich life. With a commitment to building a positive online environment, the company drives impact through teamwork, creativity, and growth.

Role Summary
As a Data Engineer in the Video Architecture team, you will contribute to building cutting-edge data systems that power the world’s largest video streaming platforms. You will work on large-scale networks, designing and maintaining data pipelines to support video processing, transcoding, and streaming services. Your work will have a direct impact on billions of users worldwide.

Key Responsibilities

  • Data Architecture: Design and implement data systems and ETL pipelines for efficient processing and transformation of both large and small data.
  • Data Pipeline Management: Build and maintain reliable data pipelines that move and transform data at scale.
  • Process Improvements: Automate manual processes and optimize data quality and service level agreement (SLA) management.
  • Cross-functional Collaboration: Work with teams across CDN, Video Understanding, Video Transcoding, Live Streaming, and Real-Time Communication to integrate systems and drive efficiency.

Qualifications

  • Minimum Requirements:
    • Bachelor’s degree in Computer Science or a related field, or equivalent experience in software/system engineering.
    • Proficiency in at least one of the following programming languages: C, C++, Java, Python, or Go.
    • Experience in designing, implementing, and maintaining custom ETL/data pipelines.
    • Familiarity with data processing tools (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
    • Experience troubleshooting in large-scale distributed systems.

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

  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. Users must click to apply, redirecting to the employer’s career page.
  4. No Liability: SpringCube is not liable for inaccuracies.