Lead II - Telco Engineering

Job Summary

Role Summary We are looking for a Core Network domain expert who also brings hands-on data engineering skills to support network data pipelines, analytics, and reporting. This role is primarily suited for a telecom Core Network specialist who can extend their expertise into data engineering using Python, SQL, PySpark, Snowflake, and Databricks.

Responsibilities

• Serve as the subject-matter expert on Core Network architecture, protocols, and data sources, guiding design decisions on what network data to capture, transform, and expose for analytics.
• Work closely with network engineering, OSS/BSS, and NOC teams to interpret call flows, signaling traces, and network KPIs, and translate that domain knowledge into requirements for data pipelines.
• Support troubleshooting and root-cause analysis of network performance issues using data-driven insights (PM counters, FM alarms, CDRs/xDRs, signaling data).
• Build and maintain data pipelines (Python, SQL) to ingest and process network data into Snowflake/Databricks for downstream analytics and reporting.
• Document network data flows, schemas, and domain-specific business rules for data pipelines.
• Ensure data handling complies with telecom data privacy, security, and regulatory standards.

Requirements

Core Network Domain

• Deep expertise in telecom Core Network architecture: 2G/3G/4G/5G, EPC, 5GC (AMF, SMF, UPF, NRF), IMS.
• Strong knowledge of network protocols and interfaces: Diameter, SS7, SIP, GTP, RADIUS.
• Hands-on experience with network data types: CDRs/xDRs, PM (performance management) counters, FM (fault management) alarms, signaling traces.
• Working knowledge of OSS/BSS systems, network probes, or vendor equipment (Ericsson, Nokia, Huawei, or similar).
• Strong understanding of network KPIs (throughput, latency, call drop rate, handover success rate) and their underlying data sources.
• Experience supporting network operations, performance monitoring, or capacity planning functions.

Data Engineering

• Proficiency in Python and SQL for data extraction, transformation, and analysis.
• Experience with Snowflake for data warehousing, including schema design and query optimization.
• Experience with Databricks for building and orchestrating data pipelines and notebooks.
• Basic understanding of data modeling and data quality principles as applied to network datasets.

Nice to Have

• Exposure to ML-driven use cases such as anomaly detection or predictive maintenance in network operations.
• Familiarity with orchestration tools (Airflow) or cloud platforms (AWS/Azure/GCP).

Experience Level: 6-10 years overall, with 5+ years in telecom Core Network domain and 2+ years applying data engineering tools (Python, SQL, PySpark, Snowflake, Databricks) in a network context.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.