01Overview
ABOUT THE ROLE
We are looking for a highly skilled Senior Data Engineer Telecom OSS, ETL & Analytics (Python, Airflow) with solid 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 settings.
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: 510 Years
Location: Chennai
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-dr .
