Actively looking for a Telecom ETL Data Engineer

Role:

• Telecom ETL Data Engineer

• Location:

• West Chester, PA (Need only Locals)

Mail:

Technical Skills Strong expertise in PySpark , Spark SQL, Spark Streaming. Proven experience building pipelines in Databricks (Delta Lake, Jobs, Clusters). Solid Python programming and modular ETL development experience. Experience with telecom systems, data domains, and operational workflows. Knowledge of CI/CD, version control (Git), and cloud platforms (Azure/AWS/Google Cloud Platform). Experience with orchestration tools such as Rundeck , Airflow, or Control-M. Soft Skills Excellent articulation and structured communication. Ability to simplify complex data concepts into business-friendly narratives. Strong problem-solving, analytical, and decision-making skills. Ability to lead conversations with senior stakeholders. A natural storyteller with the ability to craft architecture and data stories. Preferred Qualifications Background working with large telecom providers (e.g., Comcast/Xfinity, AT&T, Verizon, etc.). Experience with event-driven architecture, Kafka, or real-time streaming. Understanding of telecom KPIs, customer journeys, and operational systems. Experience in performance tuning of Spark workloads.