P
Parallelwireless5mo ago
INR 0–0/yr

Senior Technical Lead, SMO

PuneFull Timesenior
OtherTechnical Lead
2 views0 saves0 applied
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Quick Summary

Overview

We are seeking an experienced Technical Lead to spearhead data analytics initiatives leveraging the ELK Stack (Elasticsearch, Logstash, Kibana) within the telecom domain.

Technical Tools
awsazurebashelasticsearchgcpkafkapythondata-analysislinuxstakeholder-management
We are seeking an experienced Technical Lead to spearhead data analytics initiatives leveraging the ELK Stack (Elasticsearch, Logstash, Kibana) within the telecom domain. The ideal candidate will combine deep technical expertise in ELK with strong leadership skills and telecom industry knowledge to deliver scalable, high-performance analytics solutions.
  • Core Technical Expertise -
    •  
    ELK Stack: Elasticsearch, Logstash, Kibana (installation, configuration, cluster management).
    Beats (Filebeat, Metricbeat) for data collection.
    Query DSL, KQL, scripted fields in Elasticsearch.
    Logstash plugins (Grok, JSON, Mutate) for parsing telecom data.
     
  • Programming & Tools 
    • Python, Shell scripting for automation and data processing.
    Familiarity with Kafka, and cloud platforms (AWS, Azure, GCP).
    Linux/Unix proficiency.
     
  • Telecom Analytics
    • Understanding of telecom protocols (LTE, 5G,NSA).
    Experience with network KPIs and Service KPIs
  • Leadership & Strategy
  • Lead and mentor a team of engineers and analysts on ELK-based projects.
  • Define technical architecture and roadmap for telecom analytics platforms.
  • Collaborate with senior stakeholders to align solutions with business objectives.
    •  
    ELK Stack Implementation
  •  Design, configure, and manage ELK clusters for large-scale telecom data.
  • Develop Logstash pipelines for ingestion, parsing, and enrichment of telecom logs (e.g., CDRs, network KPIs).
  • Create advanced Kibana dashboards for real-time visualization and analytics.
    •  
    Integration & Optimization
  • Integrate ELK with big data frameworks (Hadoop, Spark) and streaming platforms (Kafka).
  • Optimize Elasticsearch for high-volume telecom datasets (indexing, shards, replicas, query performance).
  • Implement alerting and anomaly detection for network performance and fraud analytics.
  • Bachelor’s/Master’s in Computer Science, Telecommunications, or related field.
  • 10+ years in software/data engineering, with 4+ years in ELK and telecom analytics.
  • Strong leadership and stakeholder management skills.

    • Location & Eligibility

    Where is the job
    Pune
    On-site at the office
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    November 26, 2025
    First seen
    March 30, 2026
    Last seen
    May 7, 2026

    Posting Health

    Days active
    38
    Repost count
    0
    Trust Level
    34%
    Scored at
    May 8, 2026

    Signal breakdown

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