Minimum 5 years of data engineering and/or cloud data management experience
Ability to understand customer requirements and create customized demonstrations and
collateral
Provide product feedback (feature requests, user experience) to the development team
Strong foundation in system level architectures and compute, storage and networking
Infrastructure, Specifically
Compute architectures – physical and virtualized, operating systems (Linux strongly
preferred)
Storage systems – file systems, object stores
On-prem data center and public cloud (AWS, Azure, Google Cloud) environments
Hands-on experience with Linux/Unix systems as a system administrator or equivalent role
involving installing software and security patches, installing hardware components on servers as
per product manuals etc.
Hands-on experience working with public cloud infrastructure and services. Cloud certifications
are preferred.
Basic understanding of enterprise system deployment architecture around network configuration,
security related settings etc.
Experience troubleshooting configuration issues to resolve them independently or in collaboration
with customer support teams.
Be able to work with development/L3 support teams to live debug any issues for swift resolution
Experience with programming or scripting languages such as Python, JAVA, GO is preferred.
Experience with data management, DevOps, micro-services, containerization Skills:- Kubernetes, Docker, Data engineering, Amazon Web Services (AWS), Data architecture, Presales and Solution architecture
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