Analytics Engineer

Responsibilities

• ▹Partner with Data Scientists and business stakeholders to translate analytical needs into robust data infrastructure and workflows
• ▹Collaborate with the Data Engineering team to design data models and data pipelines
• ▹Design, develop, and maintain scalable data pipelines
• ▹Monitor performance and optimize data systems for high performance and reliability
• ▹Collaborate with the Data Integrity team to build a Data Quality Framework
• ▹Perform root cause analysis to troubleshoot data-related issues and assist with fixes
• ▹Contribute to 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

Requirements

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

Nice to have

• ▹Knowledge of software coding practices across the development lifecycle, including Agile methodologies, code reviews, and testing
• ▹Streaming or NRT modeling experience
• ▹Experience with PySpark
• ▹Passion for technical mentorship

About the company

The Rockstar Games Analytics team provides insights and actionable results to stakeholders across the organization, developing data pipelines, data products, data models, reports, analyses, and machine learning applications; the Analytics Architecture vertical builds high-impact data models and internal tooling for the wider team.