Network Data Engineer

We are seeking a skilled Network Data Engineer to design, implement, and manage data-driven solutions that support the performance, reliability, and security of enterprise networks. The ideal candidate will have a strong background in both network engineering and data engineering, with the ability to analyze network data, optimize systems, and support automation efforts.

Key Responsibilities:

• Analyze network traffic and performance data to detect bottlenecks, failures, and trends.
• Develop and maintain data pipelines that collect and process data from various network devices and tools (e.g., routers, switches, firewalls).
• Integrate and visualize network data using platforms such as Elastic Stack, Grafana, or Power BI.
• Design and support network monitoring solutions and alerting systems.
• Automate network diagnostics and reporting using Python, Shell scripting, or other relevant tools.
• Collaborate with network engineers, security teams, and IT operations to improve visibility and operational efficiency.
• Create documentation and reports for internal stakeholders based on network performance and metrics.
• Support the implementation of SDN (Software Defined Networking) and network automation initiatives.

Required Skills:

• 4–6 years of experience in network engineering, data engineering, or a hybrid role.
• Proficiency in network protocols and devices (TCP/IP, BGP, OSPF, Cisco, Juniper, etc.).
• Strong hands-on experience with Python or other scripting languages for data processing and automation.
• Familiarity with network monitoring tools (e.g., SolarWinds, Wireshark, Nagios).
• Experience in handling data with SQL, NoSQL, or time-series databases.
• Understanding of ETL pipelines, data aggregation, and reporting techniques.
• Exposure to cloud environments (AWS, Azure, or GCP) is a plus.
• Strong problem-solving and troubleshooting skills.

Preferred Skills:

• Experience with NetFlow, SNMP, Syslog, or other network data sources.
• Familiarity with DevOps tools like Ansible, Jenkins, Git for network automation workflows.
• Knowledge of big data frameworks like Spark or Kafka is a plus.
• Certifications such as CCNA, CCNP, or Network+ are advantageous.