Middle Big Data Engineer remote jobs | EPAM Anywhere

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Middle Big Data Engineer for a Video Game Company

Middle Big Data Engineer for a Video Game Company 40 hrs/week, 12+ months

We are currently looking for a remote Middle Big Data Engineer with 2+ years of experience to join our team.

The customer is an American video game and software developer and publisher, developing a commercially available game engine that also powers their internally developed video games.

In this position you will help build and manage big data streaming technologies. You'll be deeply involved with optimizing our existing streaming services, evaluating new technologies, managing cloud infrastructure and more. The ingestion pipelines peak at over 90GB per minute. If you’re interested in working with data at massive scale, this position is for you.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.

Join EPAM Anywhere to quickly and easily find projects that match your knowledge and experience, while working with Forbes Global 2000 clients, building a successful IT career, and earning competitive rewards. The platform provides additional perks, including a flexible schedule, professional development opportunities, and access to a community of experts.

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 customer streaming tech stack
          • Evaluating new technologies and components of the Big Data ecosystem that are not yet part of our environment

            Requirements

            • 2+ years of experience in Big Data Engineering
              • 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 in enterprise-level projects on a long-term basis
                              • You will have a 100% remote full-time job
                                • Unlimited access to learning courses (EPAM training courses, English regular classes, Internal Library)
                                  • Community of 38,000+ industry’s top professionals
                                    Big Data
                                    Java
                                    Scala

                                    40 hrs/week

                                    Hours per week

                                    12+ months

                                    Project length

                                    Italy

                                    Locations eligible for the position