Data Engineer III - 212231 - Electronic Arts

General Information

Locations: Hyderabad, Telangana, India

Role ID

212231

Worker Type

Regular Employee

Studio/Department

CT - IT

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

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!

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

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.