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Job Title: Fiber Engineer

Job Summary

The Network Operations & Asset Management Technician is responsible for supporting the installation, maintenance, troubleshooting, and optimization of telecommunications network infrastructure. This role includes asset management, coordination of materials logistics, preventive maintenance of critical systems, and ensuring network reliability across various transmission technologies and equipment.

Key Responsibilities

Network Operations & Maintenance

Troubleshoot network equipment, isolate faults, and restore services efficiently to minimize downtime.Remove and replace defective modules and components, ensuring proper repair tracking and lifecycle management.Assist in the installation, provisioning, testing, and maintenance of services ranging from DS0 through OC192.Support deployment and testing of network technologies including:Fiber Optic Transmission SystemsEthernet and IP NetworksSONET and Wavelength ServicesNext-Generation technologies such as Edge ComputeInstall and test transmission, switching, and customer premise equipment (CPE).Proactively identify potential risks and problem areas to maintain network integrity.

Infrastructure & Preventive Maintenance

Perform scheduled preventive maintenance and inspections on:HVAC systemsHigh-voltage electrical systemsDC power plants and AC power systems (limited scope)Assist with DC power installations, including tertiary and BDCBB systems.Ensure reliability and efficiency of critical infrastructure that supports network operations.

Asset & Inventory Management

Manage inventory of tools, test sets, spare parts, and network equipment.Coordinate shipping, receiving, and tracking of company and customer materials.Maintain accurate inventory records and ensure timely replenishment of consumables and field materials.Track asset utilization and ensure proper repair and replacement processes.

Documentation & Reporting

Update installation records, logs, and detailed notes within trouble ticketing systems.Record all activities, including provisioning, maintenance, and troubleshooting actions.Provide regular updates, reports, and escalation summaries to management.Ensure all transactional updates are properly documented within company systems.

Systems & Tools Utilization

Utilize industry-standard tools and software for:Network troubleshooting and diagnosticsAsset tracking and inventory managementTrouble ticketing and time tracking systemsAccurately locate, mark, and protect underground outside plant facilities.

Collaboration & Continuous Improvement

Work collaboratively with internal teams and external stakeholders to resolve network issues.Participate in training and coaching to develop technical and system knowledge.Evaluate performance using provided tools and reports, identifying areas of improvement.Support installation, modification, and decommissioning of network infrastructure as needed.

Qualifications

Basic understanding of telecommunications and network infrastructure (Fiber, Ethernet, SONET, IP).Knowledge of AC/DC power systems and critical infrastructure maintenance.Familiarity with diagnostic tools and network troubleshooting processes.Strong organizational and asset management skills.Ability to interpret technical documentation and maintain accurate records.Willingness to learn internal systems (ticketing, provisioning, inventory management).

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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We are seeking an experienced Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making across the organization. This role will partner closely with Product, Analytics, Data Science, and Engineering teams to develop reliable, high-performance data solutions and drive best practices in modern data engineering.

Key Responsibilities

Design and maintain scalable ELT/ETL pipelines using SQL, Python, dbt, and cloud-native technologies.Build and optimize data warehouse and lakehouse solutions leveraging Snowflake, Databricks, and AWS services.Develop dimensional data models and analytics-ready datasets to support business intelligence and advanced analytics.Implement data quality, monitoring, and observability frameworks to ensure data reliability and trust.Build and support batch and near-real-time data pipelines using Kafka, Spark, and Airflow.Optimize platform performance, scalability, and cost across data infrastructure and workloads.Collaborate with cross-functional stakeholders to translate business requirements into scalable data solutions.Drive CI/CD, infrastructure-as-code, and engineering best practices across the data platform.Mentor junior engineers and contribute to technical leadership, architecture decisions, and code reviews.

Required Skills

8+ years of experience in Data Engineering or related fields.Advanced SQL and Python development experience.Strong expertise with Snowflake, dbt, Airflow, and modern ELT frameworks.Experience designing dimensional models and enterprise-scale data warehouses.Hands-on experience with Kafka, Spark/PySpark, and streaming data architectures.Strong understanding of cloud platforms, particularly AWS.Experience with Terraform, Docker, Kubernetes, and CI/CD pipelines.Knowledge of data governance, schema evolution, data quality, and observability practices.

Qualifications

Experience supporting analytics, product, marketplace, ecommerce, or customer data platforms.Exposure to Databricks and multi-cloud environments.Background partnering with Data Science, Product, and Analytics teams.Master's degree in Mathematics, Computer Science, Engineering, or a related quantitative field.

GCS is acting as an Employment Business in relation to this vacancy.

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