Data Engineer, VNGGames

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.

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.