Data Engineer

Posted Sep 30

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and sustain data pipelines for extensive volumes of network, operational, and performance data.

• Integrate data from DataMiner along with other operational or network-monitoring systems.

• Develop scalable data models tailored for operational analytics, network monitoring, reporting, and dashboards.

• Create and uphold Power BI dashboards and reporting solutions.

• Implement and configure DataMiner as a comprehensive monitoring and analytics platform.

• Set metrics, triggers, and alerting requirements.

• Aggregate monitoring data from geographically dispersed network sources.

• Analyze high-volume network telemetry during weather events, outages, recovery situations, and other network conditions.

• Develop monitoring capabilities to assess when recovery mechanisms are activated and whether services are functioning as intended.

• Convert modeling assumptions and anticipated service behavior into quantifiable performance indicators.

• Automate routine performance reporting and post-event analysis.

• Identify trends, anomalies, and service-performance challenges, offering actionable recommendations.

• Generate reports for technical teams and executive stakeholders.

• Collaborate with network engineering, operations, analytics, and business teams.

• Establish scalable data and analytics practices to meet growing telemetry and monitoring demands.


⛳️ Requirements

• Proven experience with Skyline DataMiner for extracting and analyzing network telemetry, service availability, network recovery, reliability, or performance data.

• Background in data engineering, data analytics, business intelligence, or a combination of these fields.

• Experience in creating automated event-driven analytics, alerting, or reporting workflows.

• Understanding of network performance principles and the ability to collaborate effectively with network engineers.

• Experience in designing and supporting data pipelines that involve large or complex datasets.

• Proficient in SQL and data modeling techniques.

• Experience in developing dashboards, visualizations, and operational reporting utilizing Power BI.

• Familiarity with integrating data from various enterprise and operational systems.

• Experience in developing monitoring metrics, KPIs, alerts, or automated reporting solutions.

• Strong analytical skills with the capacity to identify patterns, anomalies, and performance trends.

• Ability to translate complex technical data into clear insights for business and executive audiences.

• Excellent collaboration skills across engineering, operations, analytics, and business teams.

• Must possess full authorization to work in the United States without the need for visa sponsorship or transfers.

• Must not require or utilize c2c arrangements.


🏝️ Benefits

• Opportunity to influence and shape clients’ industries.

• Acknowledgment for employee contributions.

• Supportive and communicative company culture.

• Opportunities within a digital workforce.

• Autonomy and self-responsibility in managing workloads.

• Professional growth opportunities for career advancement.

• Commitment to investing in consultants and empowering employees.

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