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Engineer (Data Science, DataOPS, Linux, AWS, ML)

  • Full Time, onsite
  • Dynamic Enterprise Solutions Inc
  • On Site, United States of America
Salary undisclosed

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Description:

Client is seeking a highly motivated DataOps Engineer responsible for the engineering, implementation, and operations of high-performance computing systems and cloud services within a multi-cloud environment. The ideal candidate will possess comprehensive knowledge of automation toolsets, storage technologies, and Linux/Windows operating systems to support both on-premises and cloud-based deployments. Expertise in Unix security and privacy, AWS identity management, Windows identities management, and an understanding of Active Directory, including RFC 2307, are crucial.

Key Responsibilities

  • Collaborate with cross-functional teams: Implement and manage applications or solutions leveraging automated tools.
  • Review architectural diagrams: Implement services based on compute, data, or security requirements.
  • Develop automation scripts: Use Python, YAML, JSON, Bash, and PowerShell for automating functions.
  • Automated configuration and deployment: Handle operating systems.
  • Continuous data management: Develop processes and procedures for data management between different platforms and environments.
  • Provide third-level support: Assist operational teams with incident and problem management.
  • Strategic collaboration: Work with architecture teams to support senior management s vision and goals.
  • Policy adherence: Ensure compliance with corporate and divisional policies.
  • Lead troubleshooting efforts: Manage system troubleshooting and break/fix efforts.

Qualifications

Certifications (desirable, but not required )

  • Linux Certifications: RedHat Certified Engineer or Architect
  • AWS Certifications:

o AWS Certified Solutions Architect

o AWS Certified Solutions Associate

o AWS Certified Cloud Practitioner

  • Additional Certifications: Google Professional Collaboration Engineer, IBM Spectrum Scale are a plus

Experience

  • Educational Qualification: Bachelor s Degree or equivalent education.
  • IT Experience: 5-10 years.
  • Coding Experience: Minimum 5 years with Python, YAML, JSON, Bash, and PowerShell.
  • Cloud Services: 3 years of experience in designing, executing, and supporting cloud services and environments (AWS, Azure).
  • Linux Systems: 3-5 years in complex, multi-user environment implementations and administration.
  • CI/CD and Automation Tools: Experience with GIT, Jenkins, Ansible, CloudFormation, and Terraform.

Skills

  • Storage Protocols: Knowledge of block, file, and object storage protocols (SMB/NFS/Posix/Object Storage) and data protection solutions (RAID, snapshots, backups, replication).
  • AWS Tools: Proficiency in Systems Manager, Config, CloudTrail, CloudWatch, and IAM.
  • Security Models: Good working knowledge of Linux and Windows security implementations.
  • Networking: Solid understanding of networking and core Internet protocols (TCP/IP, DNS, SMTP, HTTP, Ethernet, InfiniBand).
  • Identity Management: Familiarity with Unix security and privacy, AWS identity management, Windows identities management, Windows Active Directory, LDAP technologies, and Network Attached Storage solutions (NetApp, Isilon).
  • Systems Development: Demonstrated experience in large-scale, enterprise systems development, implementation, and operations.

Personal Attributes

  • Attitude: Positive attitude and a strong commitment to delivering quality work.
  • Communication: Effective interpersonal, verbal, and written communication skills.
  • Leadership: Ability to lead and facilitate meetings with customers and technical team members.
  • Teamwork: Deliverables-focused, detail-oriented, and strong teamwork skills.
  • Customer Focus: Exceptional customer focus.
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