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Large IT employer, mid-level generalist data/ETL role in metro hubs increases candidate competition.
Telecom OSS domain expertise and OSS/BSS experience limit transferability across industries.
Explicit 5-9 years requirement plus Telecom OSS and ETL/Python/Airflow mandates strict filtering.
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Design, develop, and maintain large-scale ETL pipelines and data integration frameworks specifically for Telecom OSS systems.
Build and manage workflow orchestration pipelines using Apache Airflow to support telecom operational analytics and decision making.
Develop and optimize data analytics, reporting solutions, and automation frameworks using Python, SQL, and shell scripting within telecom environments.
5 to 9 years of relevant experience in telecom data engineering, OSS, ETL, and analytics.
Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent.
Strong hands-on experience with Telecom OSS domain, including operations support systems, network analytics, service assurance, fault management, and performance management systems.
Proficiency in Python development, Apache Airflow for workflow orchestration, SQL and database performance tuning, and working with Unix/Linux environments.
Experienced in handling large-scale telecom operational and network datasets with focus on data pipeline development and orchestration within OSS environments.
Skilled in implementing predictive analytics, anomaly detection, and AI/ML use cases related to telecom network analytics and service assurance.
Capable of collaborating with business stakeholders and technical teams to translate telecom data requirements into scalable, high-performance data engineering and analytics solutions.