Electronic Arts

Data Engineer II - EADP Social Engineering

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.

EA’s Digital Platform (EADP) organisation is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games & services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone.

EA Hyderabad is seeking a Data Engineer II with a love for data. You will be responsible for planning, building and deploying Enterprise Integration and Business Intelligence solutions for EA. You will be a subject matter expert in building data integration solutions using modern ETL technologies. You will be leveraging cutting edge tools & technologies to store, analyse petabytes of data and solve complex business problems. You will collaborate with product, business and engineering teams to build & deliver the most optimal solution. 

Key Responsibilities                                                                                                                                                                      

• Analyse and organise raw 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 architects across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

• 4–6 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.

• 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. 

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!