Senior Data Engineer – Telecom OSS, ETL & Analytics (Python, Airflow)

Job description

**ABOUT THE ROLE** 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:** 5–10 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-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. - Follow DevOps, CI/CD, and Agile development best practices. - Participate in technical discussions, architecture reviews, and solution recommendations. - Mentor junior engineers and promote engineering best practices across teams. - Work independently on client requirements and collaborate effectively with cross-functional teams. **QUALIFICATIONS** - Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. - 5–10 years of overall IT experience. - Minimum 5+ years of experience in ETL Development, Data Engineering, and Analytics solutions. - Minimum 3+ years of hands-on experience in: - Telecom OSS - ETL Development - Data Analytics - Apache Airflow - Python Development - SQL & Database Technologies - Strong experience delivering enterprise-scale analytics and data engineering solutions. - Experience working with telecom operational and network data ecosystems. - Excellent analytical, troubleshooting, and problem-solving skills. **REQUIRED SKILLS** Telecom OSS & Domain Expertise - Strong hands-on experience in Telecom OSS (Operations Support Systems). - Experience working with Telecom Network Analytics. - Understanding of Service Assurance systems. - Experience in Fault Management systems. - Knowledge of Performance Management systems. - Experience handling telecom operational and network datasets. Data Engineering & ETL - ETL Development. - Data Engineering and Data Integration. - Large-Scale Data Processing. - Data Pipeline Development. - Data Validation, Reconciliation, and Transformation. - Performance Tuning and Optimization. Data Analytics - Data Analytics and Reporting. - Data-Driven Decision Making. - Dashboarding and Operational Reporting. - Analytics Solution Development. Programming & Development - Python Development. - SQL and Database Development. - Database Performance Optimization. - Shell Scripting. - Unix/Linux Environments. Workflow Orchestration - Apache Airflow. - Workflow Automation. - Job Scheduling and Monitoring. AI/ML Fundamentals - AI and Machine Learning Concepts. - Predictive Analytics. - Anomaly Detection. - Data Science Fundamentals. Problem Solving - Debugging and Troubleshooting. - Root Cause Analysis. - Analytical Thinking. - Performance Optimization. Collaboration & Leadership - Technical Discussions and Solution Design. - Stakeholder Communication. - Team Mentoring. - Engineering Best Practices. **PREFERRED SKILLS** 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 - Service Assurance Analytics - Fault Management Analytics - Performance Management Analytics Visualization & Reporting - Power BI - Tableau - Grafana - Advanced Reporting Frameworks Cloud Technologies - AWS - Microsoft Azure - Google Cloud Platform (GCP) DevOps & Engineering Practices - CI/CD Pipelines - DevOps Methodologies - Agile Development Practices Leadership & Technical Growth - Team Leadership - Technical Mentoring - Architecture Reviews - Technical Governance - Client and Stakeholder Engagement - Cross-Functional Collaboration