Senior Analytics Engineer, Rockstar Games

• 5+ years of experience in analytics engineering or data engineering Python and PySpark
• 5+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background
• Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure
• Experience working in Databricks & Azure environment (or other cloud equivalents)
• Experience working with pipeline scheduling tools such as Airflow & Astronomer
• Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus
• Ability to push the frontier of technology and freely pursue better alternatives

Desirable

• Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry
• Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software development skills who is passionate about games and big data
• The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making
• We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games
• We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications
• The Analytics Architecture vertical within the Analytics team is tasked with building out high impact data models and internal tooling to support the wider Analytics team
• Partner with Data Scientists and business stakeholders to understand analytical needs and translate them into robust data infrastructure and workflows for the global Analytics team
• Collaborate with the Data Engineering team to design, develop and maintain scalable data models and pipelines
• Monitor performance and optimize data systems for high performance and reliability
• Collaborate with the Data Integrity team to build a Data Quality Framework that ensures production data meets SLAs for key stakeholders and business processes
• Perform timely Root Cause Analysis to troubleshoot data-related issues; assist in implementation of code and process fixes
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow
• Contribute to the establishment of best practices including code standards, version control, documentation, testing, and review processes
• Develop and support CI/CD processes using Terraform, Github, TeamCity, Octopus, etc
• Define and implement monitoring and alerting policies for data solutions