Data Automation Engineer
3 weeks ago
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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