Senior Data Engineer Telecom OSS, ETL and Analytics

We are looking for a highly skilled Senior Data Engineer – Telecom OSS, ETL & Analytics (Python, Airflow) with strong expertise in Telecom OSS, Data Engineering, ETL Development, Python, Apache Airflow, and Data Analytics. The ideal candidate will play a key role in building scalable data platforms, automation frameworks, ETL pipelines, and analytics solutions that drive operational efficiency and data-driven decision-making within telecom environments. This role requires hands-on experience in processing large-scale telecom datasets, developing data orchestration frameworks, implementing reporting and analytics solutions, and leveraging AI/ML concepts to enhance operational intelligence. The candidate will work closely with clients, business stakeholders, and engineering teams to deliver high-performance data solutions.

Experience: 5–9 Years

Location: Hyderabad,Chennai,Bangalore

Qualification: B.E./B.Tech in Computer Science, Information Technology, Data Science, Engineering, or equivalent

RESPONSIBILITIES

Design, develop, and maintain large-scale ETL pipelines and data integration frameworks for Telecom OSS systems. Develop scalable data engineering solutions for structured, semi-structured, and operational telecom datasets. Build and manage workflow orchestration pipelines using Apache Airflow. Develop data analytics, reporting, and dashboard solutions to support operational and business intelligence requirements. Collaborate with business stakeholders and technical teams to understand data requirements and deliver effective solutions. Implement data validation, reconciliation, transformation, and data quality processes. Optimize SQL queries, ETL jobs, and database performance for high-volume data workloads. Develop automation and analytics solutions using Python and Shell Scripting. Support Telecom Network Analytics, Service Assurance, Fault Management, and Performance Management initiatives. Participate in predictive analytics, anomaly detection, and AI/ML-driven use cases. Troubleshoot complex production issues and perform root cause analysis for data and application-related challenges. Contribute to cloud adoption, data modernization, and platform optimization initiatives.

Machine Learning & Advanced Analytics Scikit-Learn TensorFlow PyTorch Predictive Analytics Models Machine Learning Solution Development Data Platforms & Architecture Data Lake Technologies Data Warehouse Solutions Big Data Ecosystems Modern Data Architectures Telecom Analytics Telecom Network Analytics