Cloud Support Eng. I - Bengaluru, India - AWS India - Karnataka

AWS India - Karnataka
AWS India - Karnataka
Verified Company
Bengaluru, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description
Bachelor's degree OR equivalent experience in a technical position

  • Requires minimum of 2+ yrs experience on Hadoop/ML/Large Dataset handling with DB/DW experience
  • Advanced experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto or ETL skills with working experience on Databases Oracle/SQL Server/ PostgreSQL/TerraData
  • Advanced experience in DynamoDB or NoSQL technologies like MongoDB or Cassandra
  • Advanced experience with System Administration with Linux (RHEL/CentOS) including Microsoft Active Directory, and LDAP integration.
  • Experience with troubleshooting Kerberos Authentication problems.
  • Experience with Network troubleshooting. Basic understanding of Machine Learning and statistics
  • Experience with Java and Python and shell scripting


If you fit the description, you might be the person we are looking for We are a group of smart people, passionate about cloud computing, and believe that world class support is critical to customer success.

Key job responsibilities

  • Learn and use groundbreaking technologies.
  • Interact with leading engineers around the world.
  • Partner with Amazon teams in India to help reproduce and resolve customer issues.
  • Leverage your extensive customer support experience to provide feedback to internal Amazon teams in India on how to improve our services.
  • Drive customer communication during critical events.
  • Drive projects that improve supportrelated processes and our customers' technical support experience.
  • Write tutorials, howto videos, and other technical articles for the developer community.
  • Work on critical, highly complex customer problems that may span multiple AWS services.
A day in the life

  • First and foremost this is a customer support role in The Cloud.
  • Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives to ensure better CX and compliance with global AWS standards, practices and policies.
  • Career development: We promote advancement opportunities across the organization to help you meet your career goals.
  • Training: We have training programs to help you develop the skills required to be successful in your role. We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven't been exposed to yet.
  • Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
  • AWS Support Engineering is 24/7/365 operations and shift work will be required in afternoon i.e. 1 PM to 10 PM IST


The Big Data role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI).

Helping our customers use and integrate Big Data services in what is arguably our industry's most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MangoDB, and Apache Cassandra.

Bangalore, KA, IND

  • Expert experience in the Hadoop Ecosystem including Apache Spark and Presto
  • Expert experience in NoSQL
  • Expert experience with blockchain technologies like Etherium
  • Expert experience in data Data Lake architecture and administration
  • Good understanding of distributed computing environments
  • Lead technical discussions on big data systems architecture and design
  • Strong analysis and troubleshooting skills and experience
  • AWS Certified Solutions Architect
  • AWS certified Big Data Specialty
  • Master's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR equivalent experience in a technical position

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