Cloud Support Engineer (Big Data - JA)
Company
EPAM Systems
Location
Tokyo, Japan
Type
Full Time
Job Description
EPAM Systems provides 24/7 support services for users of a major Cloud platform.
The Support team is distributed across multiple locations. We are hiring a Cloud Support Engineer to extend our multi-language team, based in Minato-ku, Tokyo, Japan.
#LI-DNI#REF_JP_ClH#REF_JP_ClHupd
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
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- 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
- 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
- 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
-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
-Since EPAM Japan was incorporated in 2018, we have been constantly expanding our team and capabilities in Tokyo, the capital of the world's third-largest economy
-We have top-notch multilingual specialists who are experts in consulting, designing, and engineering to achieve digital transformation for businesses, especially in financial services, life science, automotive, real estate, and retail
-With a proactive, creative, diverse team, we offer our clients solutions that envision digitalization in their systems, products, and services. We are here to make an impact in our community and beyond
Date Posted
12/21/2024
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