This job listing expired on Jun 6, 2023
Tweet

We are EA

EA inspires the world to play, and the Worldwide Localization Team makes that happen! We are accountable for delivering the high-quality localized versions of our titles to over 30 countries around the world. You will find a vibrant, multicultural environment with a great mixture of professionals. From software engineers, project managers, testers to audio, text and linguistic specialists, each employee has an important role to play. EA has built a cutting-edge Localization powerhouse that covers the needs for both current and next-generation platform.

We are hiring a Data Engineering Intern for our Localization Data & AI team. Loc Data & AI ́s mission is to support and foster the use of data from all perspectives, along with the development of policies and procedures for the monitoring and active management of data in EA Localization. And our means include building data engineering products and solutions, such as integrating data from various sources such as APIs, databases, and file systems. This includes an understanding of data extraction, transformation, and loading (ETL) techniques.

We are looking for someone who is passionate about applying Data Engineering techniques to real-world problems. Our intern will help us research and solve new problems, so we’re looking for someone who has the creativity to research new solutions, and who has the drive to see their project through to completion. As an intern at EA, you will work closely with your mentor to learn about your project, receive guidance, and share your work. You’ll have opportunities to meet other interns at EA, work with stakeholders, and present your work to leaders at EA.

Responsibilities:

  • Analyze and organize raw data.

  • Build data systems and pipelines.

  • Evaluate business needs and objectives.

  • Interpret trends and patterns.

  • Conduct complex data analysis and report on results.

  • Prepare data for prescriptive and predictive modeling.

  • Communicate and present results to business leaders, product managers, datascientists, analysts, and others throughout the organization.

  • Implement and share new methodologies.

Qualifications:

  • STEM-related major.

  • A bachelor's or master's degree in computer science, software engineering, mathematics, statistics, or a related field.

  • Programming: Python, Java or Scala,

  • Experience with data storage technologies such as relational databases, NoSQL

  • databases, data warehouses, and data lakes.

  • Cloud computing: knowledge of cloud computing platform Amazon Web Services

  • (AWS).

  • Strong ability to build partnerships and collaboration across teams.

  • A willingness to learn, share, and improve.

  • Interest in games is a big plus.

Internship Details:

  • Start Date (approx.): Apr/May 2022

  • Duration (Months): 6+6 Months

#LI-VEP1

About Electronic Arts

Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.

We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.