Cloud Support Engineer (Big Data - JA) Tokyo, Japan

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 Teams
• Provide technical and developer support to customers using Cloud Platform products, solutions and APIs
• Follow notification and 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 team s to improve cloud products at a senior level

Requirements

• 3+ years’ experience fully 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 BigData architectures and technologies (more than 1TB of data) and BI solutions
• Experience with distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Google Big Query, etc.)
• Experience with distributed data stores (HBase, Cassandra, Riak, Google Bigtable, Amazon Dynamo DB, etc.) and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.)
• Business level English skill (B2/C1)
• Japanese Native Level or JLPT N1 Language skills

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
• Java or Objective C

We offer

• By choosing EPAM, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023
• Your voice matters. At EPAM, employee ideas are the driving force behind our business. You'll be part of a supportive workplace where everyone is respected and included
• Through extensive opportunities for internal training and self-development, including workshops, online courses, and mentoring programs, you'll learn, contribute, and grow with us
• You'll be challenged while working side-by-side with some of the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices