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Network Automation Engineer With Data Analytics

  • ... Posted on: Sep 06, 2024
  • ... Yochana IT
  • ... Mountain View, California
  • ... Salary: Not Available
  • ... Full-time

Network Automation Engineer With Data Analytics   

Job Title :

Network Automation Engineer With Data Analytics

Job Type :

Full-time

Job Location :

Mountain View California United States

Remote :

No

Jobcon Logo Job Description :

Position Name Network Automation Engineer with Data Analytics exp.

Type of hiring 12 Months +

W2 or C2C

Location Mountain View, CA - Onsite

Job Description:

  • Experienced Analytics and Automation Engineer, preferably with experience in the telecom industry. The ideal candidate will have a strong analytics and automation background with exposure to networking, including layer 2 and layer 3 networking stack, andhands-on experience with routers, switches, and PON technologies.
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field.
  • Actual experience working for a telecom service provider or a supplier
  • At least 3 years of experience in automation engineering; 5 years preferred.
  • Minimum 2 years of experience in analytics; 3 years preferred.
  • Proficiency in SQL for data analysis and reporting.
  • Excellent programming skills in Python, Java, and proficiency in other programming languages.
  • Expertise in Linux and shell scripting
  • Up-to-date knowledge of artificial intelligence trends and applications.
  • Ability to apply different models to solve various network-related problems.
  • Strong understanding of networking concepts, including layer 2 and layer 3 protocols.
  • Hands-on experience with routers, Ethernet switches, and preferably PON technologies, WiFi 5/6/6E/7, TR-69, TR-143, TR-181.
  • Familiarity with Google tools is preferred.
  • Experience with open source tools relevant to network automation and analytics.
  • Strong verbal and written communication skills.
  • Ability to troubleshoot and debug complex issues. Strong analytical and problem-solving skills.
  • Understanding of DevOps practices and tools like Docker, Kubernetes, Ansible, or Terraform.

Thanks &

Jobcon Logo Position Details

Posted:

Sep 06, 2024

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-7a6de2bc56cf0e385ec8fc01ec47d97309cdc117a743f9f45632a2347af1d95d

City:

Mountain View

Job Origin:

CIEPAL_ORGANIC_FEED

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Position Name Network Automation Engineer with Data Analytics exp.

Type of hiring 12 Months +

W2 or C2C

Location Mountain View, CA - Onsite

Job Description:

  • Experienced Analytics and Automation Engineer, preferably with experience in the telecom industry. The ideal candidate will have a strong analytics and automation background with exposure to networking, including layer 2 and layer 3 networking stack, andhands-on experience with routers, switches, and PON technologies.
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field.
  • Actual experience working for a telecom service provider or a supplier
  • At least 3 years of experience in automation engineering; 5 years preferred.
  • Minimum 2 years of experience in analytics; 3 years preferred.
  • Proficiency in SQL for data analysis and reporting.
  • Excellent programming skills in Python, Java, and proficiency in other programming languages.
  • Expertise in Linux and shell scripting
  • Up-to-date knowledge of artificial intelligence trends and applications.
  • Ability to apply different models to solve various network-related problems.
  • Strong understanding of networking concepts, including layer 2 and layer 3 protocols.
  • Hands-on experience with routers, Ethernet switches, and preferably PON technologies, WiFi 5/6/6E/7, TR-69, TR-143, TR-181.
  • Familiarity with Google tools is preferred.
  • Experience with open source tools relevant to network automation and analytics.
  • Strong verbal and written communication skills.
  • Ability to troubleshoot and debug complex issues. Strong analytical and problem-solving skills.
  • Understanding of DevOps practices and tools like Docker, Kubernetes, Ansible, or Terraform.

Thanks &

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