**cloud Support Engineer - Bigdata/hadoop #ps** Job in Amazon

DESCRIPTION

JOB DESCRIPTION
Amazon has built a reputation for excellence with recent examples of being named #1 in customer service, #1 most trusted, and #2 most innovative. Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. As a member of the AWS Support team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications. You will work with leading companies in this space and directly with the engineering teams within Amazon developing these new capabilities.

Our Big Data Support team specializes in helping customers with streaming, storing and processing vast amounts of data in the Cloud. Our engineers focus on helping customers use and integrate services in what is arguably our industrys most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), ElasticSearch, Kinesis, Athena, ML/AI & more. We have a team of talented Support Engineers located in 8 countries around the world, and are growing rapidly. Our follow the sun support and shift model mean you will not be on-call.


Every day will bring new and exciting challenges on the job while you:
Learn and use groundbreaking technologies
Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs
Interact with leading technologists around the world
Work directly with Amazon Web Service architects to help reproduce and resolve customer issues
Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
Drive customer interactions. Phone, Chat, Emails, Screen shares and conference calls
Drive projects that improve support-related processes and our customers technical support experience
Write tutorials, how-to videos, and other technical articles for the customer community
Work on critical, highly complex customer problems that may span multiple AWS services

BASIC QUALIFICATIONS

BASIC QUALIFICATIONS
Bachelors degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field

8 years of experience in big data/hadoop.


Excellent knowledge of Hadoop architecture and administration and support


Well versed in maintaining infrastructure of large complex systems/clusters.

Strong Linux/Unix system administrator skills

Strong Hadoop troubleshooting skills

Be able to read java code, and basic coding/scripting ability in Java, Perl, Ruby, C#, and/or PHP

Experienced with Linux system monitoring and analysis

Should have good understanding of Networking concepts and protocols(DNS, TCP/IP, DHCP, HTTPS, etc.)

Strong analysis and troubleshooting skills and experience

Excellent oral and written communication skills

Customer service experience / strong customer focus

Good understanding of distributed computing environments

Strong multi-tasking skills


Self-starter who is excited about learning new technology

Databases (MySQL, Oracle, NoSQL)

Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend.

PREFERRED QUALIFICATIONS

PREFERRED QUALIFICATIONS
Proficient in Hadoop Map-Reduce and its Eco System [ Zookeeper, HBASE, HDFS, Pig, Hive, spark, etc].

Expert understanding of ETL principles and how to apply them within Hadoop

Python, and shell scripting; experience with Java a plus.

Exposure to Virtualization (VMware, Xen, Hypervisor)

Prior working experience with AWS - any or all of EC2, S3, EBS, ELB, RDS, Dynamo DB, EMR

Exposure to security concepts / best practices

Expertise with IPsec, VPN, Load Balancing, Iperf, MTR, Routing Protocols, SSH, Network Monitoring / Troubleshooting tools


Experience managing full application stacks from the OS up through custom applications



Amazon.com is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation/ Age.