Big Data Support Engineer at epam

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Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


Currently we are looking for a Big Data Support Engineer for our Tokyo office to make the team even stronger.

EPAM Systems provides 24/7 support service for major cloud platform users. Support team is distributed between multiple locations. We are hiring people to extend support in Japanese, Chinese and Korean languages.

Responsibilities

  • Provide support to customers using Cloud Platform products, solutions and APIs, including Big Data and related services
  • Provide technical assistance and support as part of a global 24x7-support organization
  • Work closely with engineers and product managers to improve the product and make our customers successful
  • Incident Management, Problem Management and Change Management: Change requests and incident ticket handling for the remaining Infrastructure Team
  • Follow notification and own escalation procedures
  • Follow standards for communications with business involving operational issues
  • Identify and document product bugs and feature requests and work with internal support teams as well as customers to implement effective solutions
  • Work closely with internal support teams to improve cloud products at a senior level

Requirements

  • 3+ years’ experience as developer or a combination developer + big data engineer
  • Ability to read and understand code, able to write code to reproduce customer problems
  • Strong research, analytical and problem-solving skills required to work with petabyte or even exabytes of data
  • Familiar with web protocols (HTTP, TLS/SSL, etc.)
  • Firm understanding of programming (Java, C++, C#, Scala, Python, etc.) and scripting languages (Python/PHP/R)
  • Background in SQL
  • Experience with Big Data architectures and technologies (more than 1TB of data) and BI solutions
  • Experience in client-driven large-scale implementation projects
  • Experience with distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Google Big Query, etc.)
  • Experience in major big data technologies and frameworks including but not limited to Hadoop, MapReduce, HDFS, AWS S3, HBase, Apache Storm, Apache Flink, Elasticsearch, Kibana, Kafka, AWS EMR, and Spark
  • Experience with distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.)
  • Practical expertise in performance tuning and optimization, bottleneck problems analysis
  • English Proficiency B2/C1

Nice to have

  • Experience in technical support: familiarity with case prioritization, SLA compliance, and quality
  • Experience with the popular technologies in the machine learning/big data ecosystem
  • Experience with any ML library (scikit­learn, pytorch, tensorflow, Spark mllib) or basic understanding of ML concepts
  • Experience with PaaS and IaaS technologies
  • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)

We offer

  • Friendly team and enjoyable working environment
  • Work-life balance and flexible schedule
  • Online training library, mentoring, career development and potential partial grant of certification
  • Unlimited access to LinkedIn learning solutions
  • Referral bonuses
  • Compensation for sick leave and paid time off
  • Opportunities for self-realization