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Data Engineer II

Electronic Arts

Electronic Arts

Data Science
Hyderabad, Telangana, India
Posted on Sep 9, 2025
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General Information

Locations: Hyderabad, Telangana, India
  • Location: Hyderabad
  • Country: India


Role ID
210729
Worker Type
Regular Employee
Studio/Department
CT - Infrastructure & Platform
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 II - EADP Social Engineering

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

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.

Must Have Skills

  • 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.

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.
LinkedInID
1449
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