Description
Electronic Arts creates next-level entertainment experiences that inspire players and fans worldwide. Everyone is part of the story here, part of a connected community across the globe. This is a place where creativity thrives, new perspectives are welcomed, and ideas matter. One team where everyone is empowered in the game.
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