Senior Data Engineer Telecom OSS, ETL and Analytics (Hyderabad)

Senior Data Engineer Telecom OSS, ETL and Analytics (Hyderabad)

07 Aug
|
Infosys
|
Hyderabad

07 Aug

Infosys

Hyderabad

Educational Requirements

Bachelor of Engineering, Bachelor Of Technology, Bachelor Of Comp. Applications, Master Of Technology, Master Of Engineering

Service Line

Engineering Services

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
- Solid 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

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

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