Cloud Support Engineer II - Big Data

Description

• 4+ years of experience in Apache Hadoop, Apache Spark, Apache Hive, and Presto
• 4+ years of experience in DynamoDB or NoSQL technologies like MongoDB or Cassandra
• 4+ years of experience with System Administration with Linux (RHEL/CentOS) including Microsoft ActiveDirectory, and LDAP integration. Experience with troubleshooting Kerberos Authentication problems.
• 2+ years of experience with Network troubleshooting.
• Experience running and troubleshooting various types of machine learning (supervised, unsupervised and reinforcement learning) and deep learning frameworks (tensorflow, mxnet) issues.
• Experience with Java and Python and shell scripting
• Bachelor’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

• 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 >
• Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services
• Drive customer communication during critical events
• 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

• 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
• Experience managing full application stacks from the OS up through custom applications
• Prior work experience with AWS - any or all of EC2, VPC, S3, RDS, EMR, Glue, SageMaker
• Excellent knowledge of Hadoop architecture, administration and support
• Expert understanding of distributed computing principles and their application in the cloud
• Good understanding of distributed computing environments
• Excellent oral and written communication skills
• Lead technical discussions on big data systems architecture and design
• Strong multi-tasking skills
• Strong analysis and troubleshooting skills and experience
• Self-starter who is excited about learning new technology
• 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

Posted on : Sun, 17 Nov 2019 07:52:38 GMT