Monday, February 4, 2019

HOT REQ: AWS Solution Architect



AWS Solution Architect

Location: Valencia, CA

 

·         As an AWS solution architect, you should be able to provide exceptional technical design

·         An AWS certified professional

·         Hands-on experience in designing robust data lake

·         Hands-on experience on configuring and using Big Data & Analytics solutions like Amazon S3, EC-2, AWS glue, AWS Lambda, AWS Kinesis, EMR, Redshift, Amazon Athena, Amazon Sage maker

·         Hands on experience with Scala, Python, and Java is a must

·         Should have hands-on experience in Data architecture/Big Data/ETL environments.

·         Collaboratively working as a team and be able to architect applications using modern cloud-native principles

·         Participated in, and be familiar with, Agile (Scrum) project methodology and practices.

·         Knowledge to setup Data science environment and prepare the environment for development and testing activities in AWS

·         Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Python - any one is fine

·         Experience with continuous integration/deployment tools and standard methodologies in DevOps.

·         Experience in working with JIRA/Git/Bitbucket/JUNIT and other code management toolsets.

·         Ability to quickly understand business requirements and propose reference architectures and technology solutions.

·         Capable to present options and weigh implementation complexities and risks to recommend the right technical decision.

·         10+ years of overall experience with at least 5 years experience architecting large-scale distributed systems

·         Hands-on experience using compute, networking, storage(EBS) and database AWS services(RDS, NoSQL, Search)

·         has good understanding of elasticity and scalability concepts

·         Understanding of network technologies as they relate to AWS

·         A good understanding of all security features and tools that AWS provides

·         Hands-on experience with migration of on-prem data to AWS

·         Self-driven and requires minimal supervision

·         Education: Master's in computer science and engineering, information science and management, or related areas

·         Understanding of analytics, reporting, and AI/ML needs on cloud platforms.


Regards

Philip

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