Take-Two Interactive

4 months ago

Data Engineer (Python/Spark)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design, build, and maintain reliable, scalable data pipelines and API integrations to support growing data volume and complexity. Partner with business teams and analysts to translate complex business rules into data-driven insights, while monitoring data quality and troubleshooting production data issues. Collaborate on evolving data architecture and implement continuous integration and deployment processes using tools like Jenkins and Docker.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop and maintain scalable data pipelines and build API integrations to support increasing data volume and complexity.
•Work with business teams and analysts to understand business rules and implement them for deriving insights.
•Monitor data quality to ensure production data is accurate and available for stakeholders and dependent business processes.
•Analyze and troubleshoot data-related issues and help resolve data problems.
•Scale data architecture and implement continuous integration/build and deployment processes using Jenkins, Docker, Git, and related tools; define monitoring and alerting policies.

Pay and Benefits

Perks:Health InsuranceDentalVision401kCommuter Benefits

Key Requirements

•3+ years of hands-on Python experience.
•3+ years of advanced SQL experience, including writing and optimizing efficient SQL queries.
•2+ years working in an AWS environment.
•Experience with Git and Docker.
•Bachelor’s degree (or equivalent) in a technical field such as Computer Science, Information Systems, Statistics, or Engineering.

Experience:3+ yearsData engineering

Education:Bachelor's

Skills:Self-starterComfort with ambiguityAttention to detailCollaboration

Languages:English

Tech Stack:PythonSparkJavaScriptCSS3HTML5SQLAWSGitDockerJenkinsAPIsAgile

Company Brief

Take-Two Interactive

Industry: Gaming

Website

Loading job details...

Preparing the role view and application actions.

Take-Two Interactive

4 months ago

Data Engineer (Python/Spark)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop and maintain scalable data pipelines and build API integrations to support increasing data volume and complexity.
•Work with business teams and analysts to understand business rules and implement them for deriving insights.
•Monitor data quality to ensure production data is accurate and available for stakeholders and dependent business processes.
•Analyze and troubleshoot data-related issues and help resolve data problems.
•Scale data architecture and implement continuous integration/build and deployment processes using Jenkins, Docker, Git, and related tools; define monitoring and alerting policies.

Pay and Benefits

Perks:Health InsuranceDentalVision401kCommuter Benefits

Key Requirements

•3+ years of hands-on Python experience.
•3+ years of advanced SQL experience, including writing and optimizing efficient SQL queries.
•2+ years working in an AWS environment.
•Experience with Git and Docker.
•Bachelor’s degree (or equivalent) in a technical field such as Computer Science, Information Systems, Statistics, or Engineering.

Experience:3+ yearsData engineering

Education:Bachelor's

Skills:Self-starterComfort with ambiguityAttention to detailCollaboration

Languages:English

Tech Stack:PythonSparkJavaScriptCSS3HTML5SQLAWSGitDockerJenkinsAPIsAgile

Company Brief

Take-Two Interactive

Industry: Gaming

Website