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AWS Cloud Data Engineer

2 months ago

Charlotte North Carolina, United States Global Channel Management, Inc Full time
About the Role

We are seeking a highly skilled AWS Data Engineer to join our team at Global Channel Management, Inc. As a key member of our technology organization, you will be responsible for designing, developing, and deploying data integration architectures that meet the needs of our business.

Key Responsibilities
  • Design and Develop Data Integration Architectures: Develop data integration architectures and define architecture standards and guidelines (architecture and design patterns) to ensure seamless data flow across systems.
  • Deployment Topology: Define deployment topology by working with peers across the technology organization to ensure efficient and scalable deployment of data integration solutions.
  • Optimize Use of Allys Platform: Optimize the use of Allys Platform and technologies to ensure maximum efficiency and effectiveness in data integration.
  • Collaborate with Business Partners: Work with business partners and delivery partners to understand future requirements and implications for architecture, ensuring that data integration solutions meet business needs.
Requirements
  • Experience with AWS: 2-4 years of experience with AWS product categories like Analytics, Application Integration, Compute, Database, Serverless.
  • Experience with Snowflake: Experience with Snowflake data warehousing and cloud-based data integration.
  • Development Experience: Development experience using AWS, including experience with APIs, Apigee, Developer Portals, and expertise in JSON, RESTful services.
  • Expertise in R, Python, and Predictive Analytics: Expertise in R, Python, and predictive analytics, including experience with data standards (security, ingestion, warehousing, storage).
  • Containers and DevOps/DevSecOps: Experience with containers (Docker, Kubernetes, OpenShift) and DevOps/DevSecOps tools (Chef, Puppet, Jenkins, Packer, Git, GitHub).
Education

Bachelor's Degree in a related field (Computer Science, AI/ML) or equivalent experience.