Provide email, web, and phone support to Snowflake customers and partners
Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues
Document known solutions to internal and external knowledge base
Submit well-documented bugs and feature requests arising from customer submitted requests and work with Engineering towards a resolution.
Work on technical and non-technical projects
Provide support coverage during holidays and weekends based on business needs
OUR IDEAL SENIOR CLOUD SUPPORT ENGINEER WILL HAVE:
Bachelor's or Master's degree in Computer Science or equivalent discipline
5+ years experience in a Technical Support environment or a similar technical function in a customer-facing role
Experience in a designated customer-focused support role providing a personalized support experience with a deeper knowledge of customer environment
Good understanding of Amazon AWS (SQS, SNS, API Gateway, S3, Route 53) and/or similar services in Microsoft Azure ecosystems, Google Cloud
Experience in ETL, ELT tools like AWS Glue, EMR, Azure Data Factory, Informatica, Data Pipelines
Experience in Spark, Kafka systems
Experience in using 3rd Party troubleshooting tools like Wireshark, Fiddler, Process Monitor/Explorer
Experience in analyzing the tcpdump, Fiddler Trace. Capturing the heap dump and analyzing the heap dump
Capturing the Stack trace and analyzing the trace
FOUNDATIONAL SQL EXPERIENCE/USUAGE :
Experience troubleshooting database connectivity issues using a variety of methods (client software, drivers/connectors)
Experience in Configuring/Troubleshooting Drivers like ODBC, JDBC, GO, .Net
Excellent ability to troubleshoot on a variety of operating systems (Windows, Mac, *Nix)
Good understanding of the technical fundamentals of the Internet. You should have knowledge of internet protocols such as TCP/IP, HTTP/S, SFTP, DNS as well as the ability to use diagnostic tools to troubleshoot connectivity issues
Debugging / Development experience in Python, Java or Scala
Excellent writing and communication skills in English with an attention to detail
Strong teaming skills in a highly collaborative environment and the ability to function in global arenas
EXPERIENCE WORKING WITH BIG DATA AND/OR MPP (MASSIVELY PARALLEL PROCESSING) DATABASES:
Understanding of Data Warehousing fundamentals and concepts
Database migration and ETL experience
Scripting/coding experience In any of the following: .Net, NodeJS, R, GO
Experience supporting applications running on either Amazon AWS or MS Azure
Experience with virtualization solutions (VMware, Docker, Virtualbox, etc)
Understanding of cloud computing security concepts