Data Operations Engineer, Rockstar Games

• Bachelor’s degree in a relevant field (e.g. Data Analytics, Computer Science, Mathematics, Business, or related)
• 3 – 5 years of experience in analytics, data operations, ML operations, etc
• Proficiency in SQL and Python (PySpark)
• Experience with containerization and CI/CD tools (Docker, TeamCity, Octopus, JFrog Artifactory, GitHub)
• Experience with Orchestration tools (Airflow, Prefect others)
• Experience with cloud data platforms, particularly Databricks and Snowflake is preferred
• Excellent written and verbal communication skills, with a focus on technical documentation
• Passion for Rockstar Games and our titles

Desirable

• Collaborate with Data Scientists and Engineers to understand process flows and business needs. Design and implement standardized alerts and runbooks to streamline issue identification and resolution in Rockstar’s Analytics data platform
• Partner with other Analytics Engineering, MLOps and Data Integrity teams to monitor the health and success of our ongoing processes. Create both manual and automated processes to ensure that we are meeting our Data Contracts and standards
• Establish a framework for monitoring, alerting and reviewing Data Pipelines and ML models to ensure they are aligned with our best practices for efficiency, cost, quality, and stability
• Provide technical expertise for the data science team to utilize APIs, libraries, automation, and other technologies to improve and streamline our workflows
• Provide Level 1 support for urgent issues or outages during regular work hours, enforcing SLAs/SLOs. Conduct root cause analysis, develop Correction of Errors documents, and ensure seamless handovers to US/UK time zone teams for unresolved critical issues

• Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process