Cloud Support Engineer - Bigdata (Mandarin Speaker)

Amazon
London
1 month ago
Applications closed

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Job ID: 2907065 | Amazon Web Services EMEA SARL (Irish Branch)

Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team, you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications. As a Cloud Support Engineer, you will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.

A day in the life

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

About the team

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

BASIC QUALIFICATIONS

  1. Fluency in Mandarin
  2. Bachelor's degree OR equivalent experience in a technical position
  3. Basic understanding of Machine Learning/AI and requires minimum of 1+ yrs experience on Hadoop/ML/Large Dataset handling with DB/DW experience and have advanced experience in Apache Hadoop, Apache Spark, Apache Hive, Hbase and Presto or ETL skills with working experience on NoSQL technologies like Dynamodb, MongoDB or Cassandra
  4. Experience with System Administration with Linux, troubleshooting Kerberos Authentication problems.
  5. Experience with Network troubleshooting.

PREFERRED QUALIFICATIONS

  1. Expert experience in the Hadoop Ecosystem including Apache Spark, Apache Hive, Hbase, Presto, Data Lake architecture and administration
  2. Prior work experience with AWS services - any or all of EMR, Glue, SageMaker and excellent knowledge of Hadoop architecture, administration and support
  3. Lead technical discussions on BigData systems architecture and design and have knowledge on distributed computing environments
  4. Strong analysis and troubleshooting skills and experience also having AWS Certified Solutions Architect/BigData/AI Specialty.

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