Programmer/Analyst: III (Senior)

Central Point Partners

  • Columbus, OH
  • 30+ days ago

    Highlights

    Manage and support large-scale environments to meet the needs of current and future Data Science teams. Summary: We are seeking an experienced Platform Engineer who will be part of the Platform team managing the Data Science platform.

    Numbers & Facts

    LocationColumbus, OH

    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:
    o Kubernetes
    o AWS services such as SageMaker, Glue, Lambda, Athena
    o CI/CD tools like Azure DevOps
    o IaC tools like Terraform
    o Docker and ECR (Elastic Container Registry)
    o 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.

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