SysMind Tech
Azure Data Architect || NY/NJ(Onsite)
SysMind Tech, New York, New York, us, 10261
Title: Azure Data Architect
Location: NY/NJ(Onsite)
At least 5+ years of experience in big data, database and data warehouse architecture and delivery. Minimum of 3+ years of professional experience in following areas: - Solution/technical architecture in tperson cloud - Big Data/analytics/information analysis/database management in tperson cloud - IoT/event-driven/microservices in tperson cloud - Experience with private and public cloud architectures, pros/cons, and migration considerations. Ability to facilitate design discussions and communicate architectural decisions. Experience with agile delivery methodologies, proof of concepts and prototyping Experience with Azure ARM templates, PowerSpersonll and CI/CD using Azure DevOps Experience with preparing data for Data Science and Machine Learning purposes Experience with Azure data, Machine Learning and Artificial Intelligence solutions Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows.
Location: NY/NJ(Onsite)
At least 5+ years of experience in big data, database and data warehouse architecture and delivery. Minimum of 3+ years of professional experience in following areas: - Solution/technical architecture in tperson cloud - Big Data/analytics/information analysis/database management in tperson cloud - IoT/event-driven/microservices in tperson cloud - Experience with private and public cloud architectures, pros/cons, and migration considerations. Ability to facilitate design discussions and communicate architectural decisions. Experience with agile delivery methodologies, proof of concepts and prototyping Experience with Azure ARM templates, PowerSpersonll and CI/CD using Azure DevOps Experience with preparing data for Data Science and Machine Learning purposes Experience with Azure data, Machine Learning and Artificial Intelligence solutions Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows.