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ABOUT THE ROLE We are looking for a highly skilled Senior Data Engineer Telecom OSS, ETL & Analytics (Python, Airflow) with solid 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 settings. 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: 510 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-dr .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.