Senior Data Engineer

Job Title: Senior Data Engineer

Job Summary

We are seeking a highly experienced Senior Data Engineer to lead the design and implementation of large-scale data pipelines and analytics platforms supporting telecom operations. This role will focus on building reliable, high-performance data models and business intelligence solutions using SQL, Hevo, DBT, Tableau, and Amazon QuickSight to enable insights across network performance, customer experience, billing, and revenue assurance.

Key Responsibilities

• Architect, build, and maintain enterprise-scale data pipelines using Hevo and cloud data platforms
  
• Lead SQL-based data transformation and optimization for high-volume telecom datasets (network KPIs, usage, billing)
  
• Design and enforce data modeling standards using DBT, including fact/dimension models and telecom KPIs
  
• Develop executive-level dashboards and operational reports in Tableau and Amazon QuickSight
  
• Partner with network, billing, product, and business intelligence teams to translate telecom requirements into analytics solutions
  
• Ensure data accuracy, latency, and availability for near–real-time and batch reporting use cases
  
• Establish and monitor data quality checks, SLAs, and alerting mechanisms
  
• Review and mentor junior data engineers and analytics engineers
  
• Drive best practices for performance tuning, cost optimization, and scalability
  
• Own documentation, lineage, and governance for critical telecom data assets
  

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  
• 6+ years of experience in data engineering or analytics engineering
  
• Advanced SQL expertise with large-scale, high-velocity datasets
  
• Hands-on experience with Hevo or comparable ELT platforms
  
• Strong experience using DBT for production-grade data modeling
  
• Proven experience building dashboards in Tableau and Amazon QuickSight
  
• Deep understanding of data warehousing and data models
  
• Experience working with cloud-based data platforms, preferably AWS
  
• Knowledge of Telecom domain is a bonus
  

Preferred Qualifications

• Experience with AWS services
  
• Familiarity with streaming or near–real-time data processing
  
• Strong understanding of data governance, security, and compliance in regulated environments
  
• Experience with Python for automation and data validation
  
• Leadership experience in cross-functional teams
  

Key Skills

• Advanced SQL & Performance Tuning
  
• ELT/ETL Pipelines (Hevo)
  
• Analytics Engineering (DBT)
  
• BI & Visualization (Tableau, Amazon QuickSight)
  
• Cloud Data Engineering (AWS)