Requirements:

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

Nice to haves:

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

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
Participate in weekend on-call support rotation
Work on technical and non-technical projects