Data Science Admin

• Posted 11 days ago • Updated 26 minutes ago
Full Time
Fitment

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Job Details

Skills

  • Image Management
  • Programming Languages
  • PostgreSQL
  • Management
  • Ruby on Rails
  • Auditing
  • Root Cause Analysis
  • Knowledge Transfer
  • Collaboration
  • Computer Science
  • Data Lake
  • Data Science
  • Artificial Intelligence
  • Machine Learning (ML)
  • Amazon SageMaker
  • Docker
  • UPS
  • Amazon Web Services
  • Kubernetes
  • Service Management
  • Scripting
  • Python
  • Shell Scripting
  • Database
  • Oracle
  • MySQL
  • Continuous Integration
  • Continuous Delivery
  • Microsoft Azure
  • DevOps
  • Terraform
  • Network
  • Recruiting
  • SOW

Summary

Description

Summary:

We are seeking an experienced Platform Engineer who will be part of the Platform team managing the Data Science platform.

Job Responsibilities:
  • Support ongoing Data Science Infrastructure operations.
  • Develop and deploy AWS environments using CI/CD processes for a rapidly growing team of Data Scientists.
  • Manage and support large-scale environments to meet the needs of current and future Data Science teams.
  • Champion and mature the environment by implementing and overseeing the image management lifecycle process.
  • Assist in setting up and managing AWS accounts specifically for the Data Science platform.
  • Provide hands-on development using CI/CD tools such as Azure DevOps.
  • Utilize Infrastructure as Code (IaC) tools such as Terraform for environment setup and management.
  • Develop scripts and applications using programming languages such as Python.
  • Manage database technologies including Athena, Oracle, MySQL, and Postgres.
  • Leverage AWS services essential for Data Lake, Data Science, AI/ML teams.
  • Handle and resolve requests from development and business users, addressing any roadblocks.
  • Manage secured infrastructure, enforce security measures, and apply necessary guard rails.
  • Resolve infrastructure vulnerabilities within SLAs and maintain audit logs.
  • Perform system upgrades and patching, providing on-call support as needed.
  • Conduct root cause analysis and knowledge transfer sessions with the internal team.
  • Collaborate with Network, Database, Infrastructure, and Architecture teams to align on projects and strategies.

Basic Qualifications:
  • Bachelor's degree in computer science or a related field.
  • 5+ years experience in Data Science Infrastructure.
  • 5+ years extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure.
  • 5+ years working knowledge of the following technologies:
    • Kubernetes
    • AWS services such as SageMaker, Glue, Lambda, Athena
    • CI/CD tools like Azure DevOps
    • IaC tools like Terraform
    • Docker and ECR (Elastic Container Registry)
    • Security tools like AQUA and Kenna
  • 5+ years experience in technical write-ups.

Preferred Qualifications:
  • AWS and Terraform certified professionals. Kubernetes or CKA
  • Familiarity with technical service management and product life cycle maintenance.
  • Knowledge of programming and scripting languages such as Python and shell scripting.
  • In-depth knowledge of database technologies like Athena, Oracle, MySQL.
  • Extensive experience with CI/CD and IaC tools such as Azure DevOps and Terraform.

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes

Workplace Type:
Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.
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.
  • Dice Id: 10508939
  • Position Id: 516bafe7e2e9cf6dd3d2ed242355851e
  • Posted 11 days ago
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