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AWS Solution Architect/Developer

Roles & Responsibilities

  • Extensive experience designing and implementing AWS data analytics and data science solutions using services such as AWS Glue, Glue DataBrew, Athena, DMS, S3, Lambda, and SageMaker
  • Strong SQL skills with the ability to write complex queries; familiarity with SQL Server
  • Experience applying the AWS Well-Architected Framework and building scalable data architectures; knowledge of AWS Data Science components
  • Familiarity with enterprise integration and data tools such as SAP S/4HANA, Dell Boomi, Denodo, and Domo

Requirements:

  • Attend Data and Analytics technical meetings to gather requirements and provide input on design decisions
  • Consult on architecture design, data enablement, development, and related activities to support analytics initiatives
  • Deliver and support key initiatives involving the listed AWS services and data architectures as part of a partnered engagement
  • Provide technical support, strategic guidance, and best practices to deliver documented Data Architect Standards

Job description

This is a remote position.

Customer is currently implementing many new data and analytics initiatives. These initiatives
have a requirement to run on an AWS environment, implementing the AWS Well Architected
Framework and the AWS Data Science Blueprint. As part of the effort, LW looks to engage
Supplier to assist with the AWS architecture and AWS Data Science components. This
architecture includes (but not limited to): 

  • AWS Glue
  • AWS Athena
  • AWS Sagemaker
  • AWS Glue Data Brew
  • AWS DMS
  • AWS S3
  • AWS Lambda
  • AWS Well Architected Framework Designs
  • AWS Data Science Components
  • Strong SQL
  • General familiarity with SQL Server would be helpful
  • SAP S/4 HANA
  • Dell Boomi
  • Denodo
  • Domo
Activities:
1. Attend Data and Analytics technical meetings
2. Consult on architecture design, data enablement, development and other related activities

Deliverables:
Support and implement key related initiatives surrounding the above technologies
and projects. In a partnered engagement model, you will serve as an extension to the client to
complete either ongoing initiatives or new identified and perform required project support. In
addition, you will provide technical support and strategic guidance along with best practices
to deliver documented Data Architect Standards.

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