AWS Data pipeline / AWS Glue

Job Title: AWS Data pipeline / AWS Glue

Location: Boise, Idaho(Initial Remote)

Duration: Long Term

Job description:

Primary Skillset: • Able to lead a new client engagement and deal with various program management aspects such as Estimation, Planning, Resourcing, Lead a team (onshore and offshore), run weekly status with customer, manage escalation and client expectation • Deep Understanding of Data Architecture on Cloud, design Native Cloud Application Architectures and optimize applications. • Provide data solutions, logical and flow diagrams based on customer's needs • Have a strong understanding of the AWS Cloud IaaS and PaaS services such as RDS, Redshift, EC2, S3, lambda, IAM, CodeDeploy, CFT, API Gateway, CloudFormation, EMR, ECS • Must have strong understanding and hands-on of AWS-DMS (AWS Data Migration Services) • Proficient in DW/BI skillset, ETL tools & process, Data extraction, Data formatting, Data flow validation • Create architectural vision along with high-level and detailed architecture designs • Develop proofs-of-concept and prototypes to help illustrate the technical approach • Design AWS architecture for availability, scalability, reliability, performance, and interoperability • Experience with infrastructure/application architecture, database architecture and networking • Experience with configuring and aggregating logs for data analysis • Provide advanced training for specific AWS services • Communicate complex technical solutions and issues to non-technical • Participate in all team planning, product demonstration and team retrospectives Good to have skills: • Strong understanding of US healthcare domain • EKS, SNS, SQS, Beanstalk, ElastiCache, Kinesis, CloudFront, and other AWS services • Strong knowledge of containerization strategies such as Docker or Kubernetes • Strong understanding of the DevOps concepts for CI/CD, configuration management, orchestration, Apps Development, etc. • Experience building and hosting Web applications AWS cloud • Experience migrating or transforming legacy customer solutions to the cloud • Understand of FACETS and its backend data model

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