Position: Senior Big Data Engineer for a Video Game Development Company
Company: EPAM Systems (Anywhere)
Category: Java
Experience required: 3y
English level: upper
Published: 2022-05-01T00:00:00+03:00

The customer is an American video game and software developer and publisher, developing commercially available game engine which also powers their internally developed video games.

The main pool of tasks is associated with optimizing our existing streaming services, evaluating new technologies, managing cloud infrastructure, and more. The ingestion pipelines peak at over 90GB per minute.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.

**Responsibilities**
Building and supporting highly available streaming services, written in Java/Scala using Apache Flink
Operating and developing applications on distributed NoSQL key-value stores such as HBase, DynamoDB or FoundationDB
Managing cloud infrastructure launched in AWS via Terraform
Participating in an on-call rotation for Epic Games streaming tech stack
Evaluating new technologies and components of the big data ecosystem that are not yet part of our environment
**Requirements**
3+ years of experience in Data Intelligence and Big Data
Experience building high throughput Java/Scala streaming services using technologies such as Flink or Spark
Strong understanding of distributed message brokers such as Kafka and Kinesis
Experience with performance tuning of distributed computing technologies at massive scale
Experience working with AWS services such as Kinesis, EC2, EMR, RDS via infrastructure as code technologies
Experience working with high throughput, distributed NoSQL databases
Capable of independently performing root cause analysis on high throughput systems
**We offer**
Competitive compensation depending on experience and skills
Work on enterprise-level projects on a long-term basis
Full-time remote work
Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
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