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通用信息

地点:Milan, Milano, Italy 
  • 地点: Offsite - Texas
  • 州:
  • 国家/地区: United States of America


角色 ID
202898
工作人员类型
Regular Employee
工作室/部门
CTO - Production Infrastructure & Engineering
弹性工作安排
Remote

Description & Requirements

Electronic Arts 打造更高层次的娱乐体验,激励世界各地的玩家和粉丝。在这里,每个人都是故事的主角。活跃社群,畅联全球。这里充满创造力,鼓励新观点,注重好创意。这是一支人人都能让游戏成为现实的团队。

The PI&E Infrastructure Data and Analytics team has an exciting opportunity to transform Infrastructure Planning & Optimization using analytics. This team applies quantitative and algorithmic techniques across a broad spectrum of problem sets that inform planning and operations for EA's cloud & infrastructure. We work within a larger Infrastructure Optimization team to deliver innovative insights and solutions for our studio partners and other internal EA partners. You will report to the Data & Analytics Tech Lead (Sr. Manager).

Your Responsibilities

  • You will measure, analyze and forecast EA's infrastructure capacity, footprint and resource utilization, for both on-premise data centers and public cloud.
  • You will track, support key Infrastructure cost and usage, and have a solid understanding of AWS, Azure, GCP Cost Allocation.
  • You will collaborate with Finance FP&A, studio partners, & other to help teams understand, plan and manage their costs.
  • You will work with big data solutions, data modeling, understand the ETL pipelines and business intelligence solutions
  • You will build and maintain Airflow pipelines for Monthly Allocation & Chargeback
  • You have the curiosity to find new techniques and tools to extract value from data. You have a degree in Statistics, Economics, Computer Science, Operations Research or other relevant fields.
  • You understand that analysis must be presented in meaningful ways and lead spirited discussions about the findings. You can explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.

Qualifications

  • Degree in a field that emphasizes scientific thinking or equivalent experience in an analytical or quantitative role.
  • 5+ years of professional experience in a data engineering role.
  • Experience working with Airflow & other ETL tools.
  • Proficiency in Python, SQL.
  • Familiarity with GCP, Azure, AWS Cloud environment.
  • Experience developing models and visualizations in Looker.




Electronic Arts
我们拥有全面的游戏组合和丰富的体验,在世界各地设有分支机构,而且在整个 EA 提供大量机会。我们非常重视适应能力、韧性、创造力和好奇心。我们提供领导岗位让您发挥潜力,为学习和尝试提供空间,赋能您出色地完成工作并寻求成长的机会。

我们对福利计划采用整体方法,强调身体、情感、财务、职业和社区健康,以支持平衡的生活。我们的套餐专为满足当地需求而量身定做,可能包括医疗保险、心理健康支持、退休储蓄、带薪休假、家事休假、免费游戏等。我们营造和谐的环境,让各个团队始终都能尽展所能。

Electronic Arts 是一个注重机会平等的雇主。在聘用员工时不会考虑其种族、肤色、国籍、血统、生理性别、社会性别、性别认同或表达、性取向、年龄、遗传信息、宗教、身心障碍、医疗状况、怀孕状况、婚姻状况、家庭状况或兵役状况,或任何受法律保护的其他特征。我们也会遵守相关法律,考虑招聘有过犯罪记录的合格应聘者。EA 还会根据适用法律的要求,为合资格的残障人士提供工作场所的便利。