Telecom ETL Data Engineer

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.