This is a remote position.
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)