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Software Engineer (Java/Scala) - Data Platform

The Battle.net Data Team builds and maintains a massive Big Data Platform for all of Blizzard Entertainment's games, tools, and operations. As a member of the Data Team, you'll contribute to one of the world's largest and most robust data pipelines to collect global information that powers analytics, operations, discovery, and machine learning throughout Blizzard's products and services. From real-time operational awareness to machine learning systems for epic gameplay experiences- Blizzard is aiming to be a world leader in Big Data.

This position is focused on the development and integration of the Data Platform. You'll help build components that glue the pipeline together and integrate with 3rd party and open source systems such as Kafka, Elasticsearch, Spark, and Hadoop. From building micro-services that support the platform's use-cases to creating epic Spark jobs to accomplish streaming/batch goals- you'll work with a team of engineers to plan, develop, and maintain massively scaled systems that handle billions of messages each day.

If you can imagine yourself in the center of the data revolution at the most epic company ever, and you want to help shape the future of Big Data platforms- this may be the job for you!

Requirements:

• 3+ years of experience building and supporting large scale distributed applications
• 5+ years of experience in designing software systems from the ground up
• Expertise in Java, Scala, or another JVM based language
• Experience with private or public cloud infrastructure (OpenStack / AWS / GCP / Azure)
• Experience with data at scale and the problems that come with it
• Proven and demonstrable ability to rapidly learn and master complex systems and their codebase
• Strong written and verbal communication skills

Pluses:

• Experience with Elasticsearch
• Experience with Kafka
• Experience with Akka
• Experience with distributed NoSQL stores (HBase, Cassandra)
• Experience with large scale data processing frameworks (Spark, Hive, Presto)
• Experience with stream processing frameworks (Spark Streaming, Flink)