Senior Data Engineer Telecom OSS, ETL and Analytics

Educational Requirements Service Line Responsibilities

• Experience: 59 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.

Additional Responsibilities:

• 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

Technical and Professional Requirements:

• 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.

Preferred Skills:

• Domain->Telecom->OSS/BSS
• Technology->ETL & Data Quality->ETL - Others
• Technology->Java->Apache->Apache Tomcat
• Technology->OpenSystem->Python - OpenSystem->Python
• Technology->Data Engineering->Databricks