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Senior Data Engineer Lithuania or Remote

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Senior Data Engineer Description

Job #: 74133
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION


We are looking for a Senior Data Engineer to work in a game development industry. Engineer in this position will help in building and managing our big data streaming technologies. You'll be deeply involved with optimizing our existing streaming services, evaluating new technologies, managing cloud infrastructure, and more. Our ingestion pipelines peak at over 90GB per minute. If you’re interested in working with data at a massive scale, scroll down to learn more about responsibilities and requirements.


ABOUT THE CUSTOMER


Our client is a global leader in developing cutting-edge gaming and cross-platform game engine technology. The company designs and produces high-end action games for consoles, personal computers, and mobile devices with their most popular title (currently #1 in the world) attracting 400M+ players worldwide.
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What You’ll Do

  • Build and support highly available streaming services, written in Java/Scala using Apache Flink
  • Operate and develop applications on distributed NoSQL key-value stores such as HBase, DynamoDB or FoundationDB
  • Manage cloud infrastructure launched in AWS via Terraform
  • Participate in an on-call rotation for customer's streaming tech stack
  • Evaluate new technologies and components of the big data ecosystem that are not yet part of our environment

What You Have

  • 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
  • Expertise in performance tuning of distributed computing technologies at massive scale
  • Ability to work with high throughput, distributed NoSQL databases
  • Experience working with AWS services such as Kinesis, EC2, EMR, RDS via infrastructure as code technologies
  • Capability to independently perform root cause analysis on high throughput systems

What We Offer

  • Innovative solutions delivery to the world’s digital changes
  • Experience exchange with colleagues all around the world
  • Opportunities for self-realization
  • Friendly team and enjoyable working environment
  • Competitive compensation depending on experience and skills
  • Regular assessments and salary reviews
  • Social package: professional & soft skills trainings, medical & family care programs, sports
  • Free English classes
  • Unlimited access to LinkedIn Learning program
  • Corporate and social events

Witaj. W czym możemy pomóc?

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