Senior Data Engineer Telecom OSS, ETL and Analytics

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.

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

• Databricks
• OSS/BSS
• ETL – Others
• Python
• Apache Tomcat

Educational Requirements

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