Technical Lead - AWS Data Architect

• Candidate is expected to have worked on large data lake implementations on AWS
  
• Candidate should have handson experience in big data database and data warehouse architecture and delivery. This is global engagement and candidate will be working as technical lead in Data and Analytics application portfolio as part of large global team i.e. onsite offshore delivery model
  
• Candidate will be reporting to SDM (Service Delivery Manager) of Data and Analytics portfolio and perform (key) roles and responsibilities mentioned below
  

• Engage in technical discussions with client & other vendor team and provide inputs and take decisions independently or in discussion with manager
  
• Drive meetings (agenda status minutes of meetings) with stakeholders (Client team vendor team)
  
• Stakeholder (Client) engagement Status updates highlight risks coordinate negotiate issues & situations
  
• Provide technical guidance as a lead / coach / mentor to the team members (India & Japan based) in helping them acquire technical skills and systems knowledge
  
• Provide proactive solutions to clients wrt. IT roles in solving business challenges/issues e.g. design ideas technology improvement ideas tools recommendations process improvements
  

• Quality of code and documentation is very good
  
• Technical code or solution is scalable optimized and cost effective
  
• Impact assessment of change requests code enhancements are thoroughly done and reviewed for any major impact to business
  
• Code documentation is structured and up to date
  
• Any design configuration or operational document that is in scope of change is correct complete and consistent wrt. standard
  

• AWS
  
• 
  
• 
  
• SDM
  

• 
  
• 
  
• 
  
• 
  
• IT
  

Requirements

• Extensive handson experience implementing data migration and data processing using AWS services
  
• AWS development tools like SageMaker EMR CodeCommit CodePipeline CodeBuild EventBridge Glue Lambda ECR CloudFormation EKS DynamoDB IAM CloudWatch Redshift
  
• Big Data/analytics/information analysis/database management in the cloud
  
• Experience of large Data and Analytics implementation or support projects
  
• Language skill:
  fluent level of Japanese skill
  Intermediate level of English skill
  

• AWS SageMaker EMR CodeCommit CodePipeline CodeBuild EventBridge Glue Lambda ECR CloudFormation EKS DynamoDB IAM CloudWatch Redshift AWS
  
• 
  
• 
  
• :
  
  
  

• Candidate is expected to have worked on large data lake implementations on AWS
  
• Candidate should have hands-on experience in big data, database and data warehouse architecture and delivery. This is global engagement and candidate will be working as technical lead in Data and Analytics application portfolio as part of large global team i.e. onsite -offshore delivery model
  
• Candidate will be reporting to SDM (Service Delivery Manager) of Data and Analytics portfolio and perform (key) roles and responsibilities mentioned below
  

• Engage in technical discussions with client & other vendor team and provide inputs and take decisions independently or in discussion with manager
  
• Drive meetings (agenda, status, minutes of meetings) with stakeholders (Client team, vendor team)
  
• Stakeholder (Client) engagement Status updates, highlight risks, co-ordinate, negotiate issues & situations
  
• Provide technical guidance as a lead / coach / mentor to the team members (India & Japan based) in helping them acquire technical skills and systems knowledge
  
• Provide proactive solutions to clients wrt. IT roles in solving business challenges/issues e.g. design ideas, technology improvement ideas, tools recommendations, process improvements
  

• Quality of code and documentation is very good
  
• Technical code or solution is scalable, optimized and cost effective
  
• Impact assessment of change requests, code enhancements are thoroughly done and reviewed for any major impact to business
  
• Code documentation is structured and up to date
  
• Any design, configuration or operational document that is in scope of change is correct complete and consistent wrt. standard
  

• AWS
  
• 
  
• 
  
• SDM
  

• 
  
• 
  
• -
  
• 
  
• IT
  

Requirements

• Extensive hands-on experience implementing data migration and data processing using AWS services
  
• AWS development tools like SageMaker, EMR, CodeCommit, CodePipeline, CodeBuild, EventBridge, Glue, Lambda, ECR, CloudFormation, EKS, DynamoDB, IAM, CloudWatch, Redshift
  
• Big Data/analytics/information analysis/database management in the cloud
  
• Experience of large Data and Analytics implementation or support projects
  
• Language skill:
  - fluent level of Japanese skill
  - Intermediate level of English skill
  

• AWS SageMaker EMR CodeCommit CodePipeline CodeBuild EventBridge Glue Lambda ECR CloudFormation EKS DynamoDB IAM CloudWatch Redshift AWS
  
• 
  
• 
  
• :
  -
  -