Data Engineer, Network Operations, Network Fabric Engineering - Amazon Web Services

Key Responsibilities

• Design, develop, and maintain robust ETL pipelines that ingest, transform, and store network telemetry and operational metrics at petabyte scale.
• Collaborate with network engineers, data scientists, and software teams to define data models, schemas, and dashboards that drive incident response and performance optimization.
• Implement and optimize data processing workflows using AWS services (Glue, Redshift, Athena, S3) and Spark/Databricks for high‑throughput analytics.
• Ensure data quality, lineage, and security compliance through automated testing, monitoring, and documentation.
• Mentor junior engineers and contribute to best‑practice guidelines for data engineering within the network operations domain.

Requirements

• 5+ years of experience in data engineering, with a strong background in Python, SQL, and AWS data services.
• Proven track record building scalable ETL pipelines and data models for large‑scale operational data.
• Experience with Spark/Databricks, Redshift, and Athena for batch and real‑time analytics.
• Solid understanding of network operations concepts and the ability to translate telemetry into actionable insights.
• Excellent communication skills and a collaborative mindset in a fast‑paced, cross‑functional environment.