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)