Senior Big Data Cloud Support Engineer (Distributed Processing) at Amazon

DESCRIPTION
As a part of the Distributed Computing team, a Cloud Support engineer will support customers who are using AWS services to process vast amounts of data. Helping our customers use and integrate Hadoop clusters and open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink and Apache Hudi Presto. A candidate is not expected to know EMR but must have the following qualifications/skills to apply:

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.

BASIC QUALIFICATIONS

• Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.)
• AI / ML As a part of the AI/ML team, a Cloud Support Engineer will support customers who leverage AWS AI/ML services to build train and deploy models to solve various business problems. Helping customers to use and integrate services like Sagemaker , Personalize ,Forecast, Lex and Transcribe among others.
• Extract Transform Load (ETL) Cloud Support Engineers in the Data in Transit domains support customers who are running ETL workload or analyzing large amounts of data using AWS services. As a part of this team. you will be working on a plethora of services such as Glue (ETL service), Athena (interactive query service), Managed Workflows of Apache Airflow etc. However, we do not expect you to know all of these and we provide extensive training to successful candidates.

BASIC EXPERIENCE/SKILLS

• Good depth of understanding in Machine Learning or advanced expertise in ETL or Hadoop concepts.
• Good understanding of Linux and Networking concepts
• Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.
• Excellent oral and written communication skills with multi-tasking ability. Should be a self-starter who is excited about learning new technology.
• Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend
• Strong troubleshooting skills

PREFERRED QUALIFICATIONS

• 7+ years of relevant experience
• Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field
• Proficient in Hadoop Map-Reduce and its Eco System [ Hive, HBASE, Spark, Presto etc. ].
• Python and shell scripting
• Good understanding of distributed computing environments
• Customer service experience / strong customer focus
• Experience building docker images and troubleshooting container related issues
• Prior working experience with AWS - any or all of EC2, S3, EBS, EMR
• Experienced with Linux system monitoring and analysis(disk management, memory management, permissions etc.)
• Good understanding of Networking concepts and protocols(DNS, TCP/IP, DHCP, HTTPS, etc.)