Description
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.
Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.
The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.
The Data Engineer -II will report to the Senior Manager, Data Engineering.
Responsibilities:
- Design, build, and sustain efficient, scalable, and performant Data Engineering Pipelines.
- Develop, optimize, and support production data workflows to ensure comprehensive and accurate datasets.
Qualifications:
- Bachelor's in Computer science or associated discipline with relevant industry experience(3+ Years) in a data engineering role.
- Proficiency in writing and analysing complex SQL, Python or any 4GL.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure tools (e.g., Terraform, CloudFormation).
- Hands-on experience with Cloud Data Warehouses like Snowflake, Redshift, Big Query or other big data solutions
- Experience with distributed data processing frameworks (e.g., Apache Spark, Airflow, Flink, Beam, and Trino).
- Experience with real-time/streaming data technologies (e.g., Kafka, Kinesis, and Spark Streaming).
- Experience in version control and CI/CD workflows (e.g., Git).
- Familiarity with BI Tools like Looker, Tableau & Power BI, dashboard design, data quality, data governance, and data observability tools