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Data Engineer II

Open 28d posting dated 20 hours ago · reposted 2×

Summary

Designs and maintains scalable data pipelines and warehouses for a gaming company, using cloud platforms, SQL, Python, and distributed processing frameworks to power analytics and insights.

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

See also

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