Data Engineer, VNGGames

VNG Corporation · Cloud Platforms (IaaS & PaaS) · Payment Processing & Gateways · Python · SQL · Scala · 7 hours ago
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Location
In office (Ho Chi Minh City)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.

Overview
Company
Impact
Profile match

VNG Corporation

VNG Corporation is a major Vietnamese technology company founded in 2004 (originally as VinaGame) that grew to become the country's first tech "unicorn". It operates a vast digital ecosystem encompassing online game publishing, cloud services, and digital media across domestic and international markets. Among its most notable products are Zalo, Vietnam's leading messaging and social application, and ZaloPay, a popular mobile payment platform.
vng.com.vn · HQ: Ho Chi Minh City, Vietnam · Payment Processing & Gateways · Cloud Platforms (IaaS & PaaS) · Messaging Apps · Game Development · Est. 2004
Tech stack of VNG Corporation

About the team:

We own the data pipelines for the entire department - we design, build, and operate them. We handle both batch and streaming workloads at game-data scale.

What you’ll do:

  • Design and build batch and streaming data pipelines.
  • Monitor pipelines, troubleshoot failures, and fix root causes.
  • Optimize Spark/SQL jobs and run backfills safely.
  • Ensure data quality, including audited financial data.
  • Use AI to automate repetitive work.

Yêu cầu

Must-have:

  • 3+ years of experience in Data Engineering, including at least 1 year building and operating production pipelines.
  • Strong SQL and Python skills.
  • Hands-on experience with Spark, including performance tuning and troubleshooting OOM errors and data skew.
  • Experience with Airflow or a similar orchestration tool.
  • Understanding of the infrastructure around pipelines: storage, compute, and logging.
  • Proficiency with Git and code review workflows.
  • Regular use of AI tools in daily work, with concrete examples of automation.
  • Disciplined and detail-oriented; willing to respond to critical issues outside office hours.

Nice-to-have:

  • Experience with Kafka/CDC streaming.
  • Familiarity with Trino, Iceberg, Hive/HDFS, and S3.
  • Experience with Scala.
  • Experience working with audited or financial data.
  • Experience with game data.
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