Data Integration Engineer

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Internship

Job Description

About Aviz Networks

Aviz Networks is an AI-driven networking company helping enterprises and service providers accelerate adoption of SONiC, open networking, and AI-powered operations. Backed by Cisco Investments and integrated with NVIDIA Spectrum-X, Aviz enables customers to standardize, simplify, and future-proof their network infrastructure.

About the Position:

Data Integration Engineer

Key Responsibilities:

  • Design, develop, and maintain scalable

    ETL/ELT

    pipelines for ingesting data from network devices (e.g., routers, switches, firewalls) and platforms (e.g., SNMP, NetFlow/IPFIX, syslog, gNMI, sFlow, API)
  • Integrate telemetry and metrics data from systems like

    SONiC, Arista EOS, Cisco IOS/NX-OS, Firewall

    appliances and controllers into centralized data lakes or observability platforms.
  • Develop connectors for streaming and batch data sources, including

    Kafka, Splunk Elastic, and time-series databases.

  • Work closely with network engineering and AI/ML teams to define data schemas and normalization strategies for topology, configuration, event, and performance data.
  • Implement data quality checks, enrichment processes, and tagging to support correlation and root cause analysis workflows.
  • Collaborate with DevOps and platform teams to deploy data pipelines in Kubernetes-based environments or on-prem/hybrid clouds.
  • Contribute to the development of data APIs, data contracts, and documentation for internal consumers and partners.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Networking, Electrical Engineering, or related field.
  • 3+ years of experience in data engineering or integration roles, ideally in network-centric environments.
  • Strong programming skills in Python, Go, Rust, C++ or Java.
  • Experience working with network telemetry protocols (gNMI, SNMP, syslog, NetFlow, sFlow, OpenConfig) and APIs (REST etc).
  • Proficiency with data integration tools and cloud-native data services.
  • Familiarity with message brokers (Kafka), and stream processing frameworks

Preferred Qualifications:

  • Experience integrating data from network observability platforms like NetQ, Cisco Nexus Dashboard, Arista CloudVision and streaming telemetry, API frameworks.
  • Knowledge of data lake and time-series databases.
  • Exposure to AI/ML workflows in the context of networking, such as anomaly detection or predictive analytics.
  • Familiarity with open-source projects like Batfish, Prometheus, Grafana, or OpenTelemetry.

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