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通用信息

地点：Hyderabad, Telangana, India 
角色 ID
212231
工作人员类型
Regular Employee
工作室/部门
CT - IT
弹性工作安排
Hybrid

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。

Data Engineer III - EADP Gameplay Services 

 

We Are EA

 

We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, EA Sports FC, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius.

 

Opportunity Ahead

 

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking. 

 

Our primary mission is to enrich the player’s gaming experience by meticulously optimizing the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

 

As a Data Engineer III at EADP Gameplay Services, you will plan, build, and deploy enterprise integration and business intelligence solutions to support and enhance matchmaking services. You will serve as a subject matter expert in developing data integration solutions with modern ETL technologies, leveraging advanced tools to store and analyse large-scale data and address complex business challenges. Collaboration with product, business, and engineering teams will be key to delivering optimal matchmaking solutions.

 

Key Responsibilities                                                                                                                                                                      

  • Analyse and organise raw matchmaking data; model datasets (3NF, dimensional) for analytics and products.
  • Build and operate reliable data pipelines (batch and streaming) across multiple sources at petabyte scale.
  • Diagnose data issues; implement data quality checks, contracts, and alerting to improve reliability.
  • Partner with product, business, and engineering to identify new data acquisition opportunities.
  • Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
  • Collaborate with data scientists and engineers across teams to serve their data needs.
  • Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

 

  • 6-8 years designing, developing, and managing data systems (warehouses, lakes, and distributed stores) at multi-PB scale.
  • Expert querying and performance tuning in SQL/HiveQL; working knowledge of CQL and MongoDB Query Language.
  • Strong data modelling (3NF, star/snowflake); proven optimisation of queries, file formats, and partitioning.
  • Proficiency in Python or Java for data engineering.
  • Ingestion from JSON/XML/CSV and CDC/streaming sources; schema evolution and backfills.
  • Orchestration with Airflow or equivalent; distributed processing with Apache Spark.
  • Cloud data platforms (AWS/Azure/GCP). Example AWS stack: S3, Glue/EMR, Lambda/Step Functions; Redshift or Snowflake; Trino/Presto; Iceberg/Delta/Hudi.
  • Visualisation exposure (Tableau/Power BI) and stakeholder communication.
  • Experience in fast-paced agile teams using GitLab, Jira, and Confluence.
  • Excellent troubleshooting in distributed environments; clear written and verbal communication.

 

Desirable Skills

 

  • Real-time pipelines with Kafka/MSK or Kinesis; Flink or Spark Structured Streaming.
  • Data quality frameworks (Great Expectations/Deequ) and lineage/catalogue (DataHub/Amundsen).
  • Basic statistical modelling or ML feature engineering in production. 

 

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

 

Don’t Just Play It – Create It!



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。