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Remote

Data Engineer

SC
Sand Cherry Associates
Формат
Remote
О роли

Описание вакансии

About the company
  • Sand Cherry Associates excels in the design and delivery of strategic customer-centric initiatives through digitally native, data-empowered solutions.
Responsibilities
  • Design, build, and maintain data pipelines that collect, process, and organize large volumes of network, operational, and performance data.
  • Integrate data from platforms such as DataMiner and other operational or network-monitoring systems.
  • Develop scalable data models supporting operational analytics, network monitoring, reporting, and dashboards.
  • Build and maintain Power BI dashboards and reporting solutions.
  • Implement and configure DataMiner as a centralized monitoring and analytics platform.
  • Aggregate monitoring data from geographically distributed network sources.
  • Analyze high-volume network telemetry during weather events, outages, and recovery events.
  • Automate recurring performance reporting.
  • Identify trends, anomalies, and service-performance issues.
  • Collaborate with network engineering, operations, analytics, and business teams.
Requirements
  • Must have experience working with Skyline DataMiner to pull and analyze network telemetry, service availability, network recovery, reliability, or performance data.
  • Experience in data engineering, data analytics, business intelligence, or a combination.
  • Experience building automated event-driven analytics, alerting, or reporting workflows.
  • Understanding of network performance concepts.
  • Experience designing and supporting data pipelines involving large or complex datasets.
  • Strong SQL and data modeling skills.
  • Experience developing dashboards and operational reporting using Power BI.
  • Experience integrating data from multiple enterprise and operational systems.
  • Experience developing monitoring metrics, KPIs, alerts, or automated reporting.
  • Strong analytical skills.
  • Ability to translate complex technical data into understandable insights.
Conditions
  • Long-term, remote role.
  • Candidates must be fully authorized to work in the United States without requiring visa sponsorship or visa transfers.
  • No c2c.
Стек и навыки

С чем работаем