Data Engineer (Python/Spark)

Take-Two Interactive

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Work type
On-site
Location
Austin, TX · NY
Posted
today

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Similar $159k
$88k most similar roles pay here $202k

This listing doesn't post a salary. Most similar roles pay $126,800–$191,075.

Based on 239 similar postings.

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About Take-Two Interactive

Take-Two Interactive is a leading global publisher and developer of interactive entertainment, responsible for acclaimed franchises including Grand Theft Auto, Red Dead Redemption, NBA 2K, and BioShock through its labels Rockstar Games, 2K, and Private Division.

Take-Two Interactive currently has 10 open roles on FindRole.

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At a glance

TL;DR · Data Engineer (Python/Spark)

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Join our dynamic team as a Data Engineer in Austin, Texas, where you will design and maintain scalable data solutions using Python and Spark. Your daily tasks include developing data pipelines, integrating APIs, and collaborating with business teams to implement complex business rules for deriving insights. You’ll also ensure data quality through monitoring systems and assist in resolving issues by performing data analysis. Key skills required are 3+ years of experience in Python and advanced SQL queries, along with familiarity with AWS, Git, Docker, and Jenkins. Ideal candidates should be comfortable working in a fast-paced environment and have experience integrating third-party APIs for added advantage.

Skills

Python AWS SQL Git Docker Jenkins Spark JavaScript CSS3 HTML5 CI/CD

What you'll do

  • Develop and maintain scalable data pipelines using Python.
  • Build new API integrations to support increasing data volume.
  • Implement processes for monitoring data quality and accuracy.
  • Troubleshoot complex data issues and assist in resolution.
  • Provide thought leadership to scale architecture for future needs.

What we're looking for

  • 3+ years of hands-on experience in Python and advanced SQL queries.
  • Experience with AWS environment, Git, and Docker.
  • Comfortable working with business customers to gather requirements.
  • Knowledge of software development lifecycle including agile methodologies.
  • Develop scalable data pipelines and API integrations using Jenkins, Docker.

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