About Amazon Web Services
Amazon Web Services is the world's most comprehensive and broadly adopted cloud platform.
We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
A Day in the Life
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.
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.
Why AWS
Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Requirements:
* Fluency in Mandarin
* Bachelor's degree OR equivalent experience in a technical position
* 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
* Experience with System Administration with Linux, troubleshooting Kerberos Authentication problems.
* Experience with Network troubleshooting.
* Expert experience in the Hadoop Ecosystem including Apache Spark, Apache Hive, Hbase, Presto, Data Lake architecture and administration
* Prior work experience with AWS services - any or all of EMR,Glue,SageMaker and excellent knowledge of Hadoop architecture, administration and support
* Lead technical discussions on BigData systems architecture and design and have knowledge on distributed computing environments
* Strong analysis and troubleshooting skills and experience also having AWS Certified Solutions Architect/BigData/AI Specialty.