Job Description:

- We are looking for a highly skilled Senior Data Engineer Telecom OSS ETL Analytics Python Airflow with robust 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

Key Responsibilities:

- 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

Technical 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

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

Preferred Skills:

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

📌 Senior Data Engineer Telecom OSS, ETL and Analytics (India)
🏢 Infosys
📍 India