Lead Big Data Support Engineer

Job Title: Lead Big Data Support Engineer
Contract Type: Permanent
Location: Tokyo, Japan
Industry: IT
Salary: 8000000 - 12000000
Reference: 10367
Contact Name: Vinod Kumar
Job Published 21th Mar 2019


Company Information

Our Client is recognized as a leader in software product development by independent research agencies. Headquartered in the United States, Company employs over 15,000+ IT professionals, servicing clients worldwide utilizing its award-winning global delivery platform, and its locations in over 20 countries. The company was ranked by Forbes as among the top 25 Fastest-Growing Tech Companies.

Individuality is key and the company is driven by motivated people with desire to grow, as they do not believe in micro-management.

They are interested in individuals who want to grow, develop, innovate and learn.


  • Provide support to customers using Cloud Platform products, solutions and APIs, including Big Data and related services.
  • 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 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
  • Control the queue and assist agents with case queries
  • Be subject matter expert to other agents
  • Share knowledge and educate the agents with product updates and best practices

Required skills

  • 5+ 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)
  • Background in SQL
  • Experience with BigData architectures and technologies (more than 1TB of data) and BI solutions
  • Experience in client-driven large-scale implementation projects
  • 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
  • Practical expertise in performance tuning and optimization, bottleneck problems analysis

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