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Senior Big Data Engineer

OnTarget Communications Rishon LeZion, Center District, Israel

Staffing and Recruiting · 1 employee

13 h ago
data-engineer Mid (2-5 yrs) Full-time Israel
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About the role

Develop and maintain scalable data pipelines, processing workflows, and data storage solutions. Collaborate with engineering and analytics teams to ensure data quality, reliability, and system performance.

What they look for

Python Java Scala Spark Kafka Airflow Hadoop Docker Kubernetes CI/CD SQL ETL Data Engineering Cloud Computing Distributed Systems

Requirements

Requires a B.Sc. in Computer Science or a related field and at least 3 years of experience in data engineering or backend development. Candidates must possess strong programming skills and experience with Big Data technologies and cloud platforms.

Full description

Scope: Full Time

Model: Hybrid

Location: Rishon LeZion

Industry: Software & Information Technology

Description:

Join a team where data powers innovation at scale. We're looking for a talented Big Data Engineer with a strong background in the cloud software industry to design, build, and optimize cutting-edge data platforms. If you thrive on solving complex challenges, working with massive datasets, and leveraging modern cloud technologies to drive business impact, we'd love to hear from you.

Responsibilities:

  • Develop and maintain scalable data pipelines and processing workflows.
  • Build and optimize data storage, ingestion, and transformation solutions.
  • Support large-scale data platforms and ensure data quality and reliability.
  • Collaborate with engineering and analytics teams on data-driven initiatives.
  • Monitor, troubleshoot, and improve system performance.

Requirements

  • B.Sc. in Computer Science, Software Engineering, or a related field
  • 3+ years of experience in data engineering or backend development
  • Strong programming skills in Python, Java, Scala
  • Experience with
  • Cloud platforms and Big Data technologies
  • Spark, Kafka, Airflow, Hadoop
  • Docker, Kubernetes, and CI/CD practices
  • SQL, ETL processes, and distributed data system

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