Telecom ETL Data Engineer

Role:: Telecom ETL Data Engineer
Location: West Chester, PA
Duration : 12+ months contract

Required Skills
Technical Skills
Strong expertise in PySpark, Spark SQL, Spark Streaming.
Proven experience building pipelines in Data bricks (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 Run deck, 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.
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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.