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Jobs or company...

AWS/Snowflake administrator | PGEJP00003386

  • Full Time, onsite
  • Portland General Electric
  • On Site, United States of America
Salary undisclosed

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Job Description

Job Description

Summary

Seeking a skilled AWS Cloud and Snowflake Administrator with additional expertise in MLOps and automation. The ideal candidate will have a strong background in cloud infrastructure, data warehousing, machine learning operations, and automation practices. Setup guideline/structure around AWS/Snowflake well architected pillars around cost optimization, reliability, performance, security, operational excellence. Take care of patching, upgrade, vulnerability mitigations. Support DevOps and MLOps automation and deployments in the cloud. Respond to ad-hoc requests for AWS and snowflake cloud administration.

Roles & Responsibilities

Key Responsibilities:
1. Manage and optimize AWS cloud infrastructure and Snowflake data warehouse environments
2. Implement and maintain AWS IAM security policies and best practices
3. Conduct regular vulnerability assessments and manage patching processes
4. Design and implement MLOps pipelines for efficient model development, deployment, and monitoring
5. Develop automation scripts and workflows to streamline cloud operations and data processes
6. Troubleshoot and resolve complex issues in AWS, Snowflake, and ML environments
7. Collaborate with data scientists and engineers to improve ML model deployment and performance
8. Develop and implement disaster recovery and business continuity plans
Required Skills and Qualifications:
1. Proven experience as an AWS Cloud Administrator and Snowflake Administrator
2. In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker
3. Strong understanding of Snowflake architecture and administration
4. Expertise in AWS security best practices and compliance standards
5. Experience in vulnerability management and patching in cloud environments
6. Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
7. Strong automation skills using scripting languages (e.g., Python, Bash) and IaC tools (e.g., Terraform, CloudFormation)
8. Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI)
9. Excellent problem-solving and critical thinking skills
10. Strong communication and collaboration abilities
11. Relevant certifications (e.g., AWS Certified Solutions Architect, Snowflake SnowPro Core)
Preferred Qualifications:
1. Familiarity with containerization technologies (e.g., Docker, Kubernetes)
2. Experience with monitoring and observability tools

Minimum Qualifications

Is utilities experience required? (Y/N) Nice to have, not mandatory

Top 3 Must-Haves (Hard and/or Soft Skills):
1. AWS and Snowflake administration skills
2. Security and Vulnerabilities management
3. Critical thinking and problem-solving skills

Top 3 Nice-To-Haves (Hard and/or Soft Skills)
1.Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI)
2. In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker
3. DevOps/ML Ops Automation (Terraform, Cloudformation)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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