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

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