Data Automation Engineer

3 weeks ago


Mountain View, United States HCLTech Full time

HCLTech is looking to hire a Data Automation Engineer for an ongoing engagement with our client who is the largest online search platform company.


Job Description:


  • Develop and implement automation solutions to streamline network operations and
  • improve efficiency.
  • Utilize analytics tools and techniques to analyze network performance data, identify
  • trends, and make data-driven recommendations.
  • Apply artificial intelligence and machine learning models to solve network optimization
  • and predictive maintenance problems.
  • Collaborate with cross-functional teams to design and deploy network infrastructure
  • enhancements and upgrades.
  • Maintain and enhance existing analytics platforms and tools.
  • Provide technical expertise and support for troubleshooting network issues and
  • implementing solutions.
  • Stay up-to-date with industry trends and advancements in artificial intelligence,
  • networking technologies, and open source tools.
  • Document processes, procedures, and configurations related to automation and
  • 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.
  • 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.


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