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Data Engineer

·Israel
HybridFull-timeData EngineeringCybersecuritySoftware Development

Design, build, and maintain scalable ETL/ELT pipelines. Leverage Databricks and modern data platforms to manage and process data. Collaborate with cross-functional teams to ensure data solutions meet business requirements. Optimize data processing workflows for performance and scalability. Hybrid role.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources.
  • Leverage Databricks and other modern data platforms to manage, transform, and process data.
  • Collaborate with software teams to understand data needs and ensure data solutions meet business requirements.
  • Optimize data processing workflows for performance and scalability.

Requirements

  • 4+ years of experience in Data Engineering, including cloud-based data solutions.
  • Proven expertise in implementing large-scale data solutions.
  • Proficiency in Python, PySpark.
  • Experience with ETL/ELT processes.
  • Experience with cloud technologies such as Databricks (Apache Spark).
  • Strong analytical and problem-solving skills.
  • Experience leading and designing data solutions end-to-end.

Nice to have

  • Familiarity with on-premise or cloud storage systems.
  • Excellent communication and collaboration skills.

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