Business Intelligence Engineer
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Job Description
BI Engineer operating database clusters and building telecom analytics dashboards for AppLogic Networks’ key accounts. Monitoring network solution health and coordinating customer-facing technical support.
Responsibilities:
- Operate database clusters and design analytical reports for a key customer account
- Work with customer business teams to collect requests and create or update BI reports
- Monitor and maintain database cluster health in optimal condition
- Perform daily data center operations activities in a high-availability production environment
- Monitor, identify, and lead potential issues to resolution; escalate issues outside the knowledge domain to Customer Support
- Communicate status updates and schedule further investigation activities through resolution
- Develop and maintain dashboards using Superset and Tableau
- Build dashboards for traffic, application performance, QoE, regional, subscriber, and service-level analysis
- Identify trends, anomalies, and performance degradation using data
- Improve dashboards and develop analytical reports based on customer requirements
- Identify opportunities to automate repetitive analytical tasks
- Collaborate with customer Network Operations, Engineering, and business teams
- Communicate technical findings and recommendations to customers
- Collaborate with Customer Support, Engineering, Product Management, and internal teams
- Conduct daily health checks and provide status reports on deployed systems
- Recommend and assist with policy/ruleset and system configuration changes
- Remediate identified issues and perform diagnostic trend analysis
- Coordinate communications and prioritization for Priority 1 support and maintenance cases
- Maintain solution documentation, including Low Level Design, and product inventory
- Provide knowledge-transfer information about solution capabilities and operating best practices
Requirements:
- Strong understanding of IP networking, TCP/IP protocols, and data communication technologies across wireline networks (Cable, DSL, FTTH) and/or wireless networks (Satellite, Wi-Fi, LTE, 4G, and 5G)
- Hands-on experience with Linux/Unix environments, SQL, relational databases, and database operations and optimization using platforms such as Vertica, Microsoft SQL Server, and Oracle Database
- Experience in data mining, ETL processes, and handling large-scale, complex datasets within telecom environments
- Strong troubleshooting, analytical, and problem-solving skills, with the ability to communicate technical issues effectively to customers and internal engineering teams
- Experience in one or more of the following areas: Telecom/ISP/Network Operator environment; Network Operations and Monitoring; Application Performance and QoE; Network Traffic Analysis; DPI/Network Intelligence; Database Operations; BI/Data Analytics (Tableau or Superset); Network packet analysis (Wireshark/tcpdump); Scripting (Python/Bash)
- Bachelor's Degree (STEM) or equivalent experience
- 5+ years experience in relevant technical domain
- Experience in customer facing roles
- Desired: Experience working with Tier-1 telecommunications service providers, with exposure to 4G/5G, FTTH, or other telecom network technologies
- Desired: Proficiency in Python-based data analysis and scripting, with experience in Vertica or similar analytical database platforms
- Desired: Familiarity with REST APIs, JSON, and web technologies
- Desired: Experience with containerization, virtualization, and cloud environments, including Docker, Kubernetes, VMware, KVM, AWS, or equivalent technologies
- Desired: Knowledge of network monitoring and performance management tools such as SNMP, MRTG, PRTG, or similar solutions, along with an understanding of ITIL, incident management, and change management practices
- Strong English communication skills and ability to collaborate effectively with globally distributed engineering teams
- Occasional extended hours or split shifts may be required
Benefits:
- Full-Time employment
- Remote work location in Seoul, South Korea
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