Job Description :
We have an urgent requirement for below position.

Role: Data Architect
Experience: 10+ years
Location:- Valencia, CA

Skills Required :-
AWS Solution Architect
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.

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