Senior Data Engineer

לפני יום
משרה מלאהמרכז (רמת גן)
3+ שנות ניסיון
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בקטגורייתData Science

תיאור המשרה

Who are we?

Argus Cyber Security is a global leader in the automotive cyber security industry. We protect drivers & manufacturers from cyber attacks on their vehicles. We use top notch technology & have several products for inside & outside the car

The Data Team at Argus

We are the backbone of data operations at Argus, entrusted with managing every aspect of data flow within the organization - from data ingestion and processing to generating valuable insights. Currently comprised of two highly skilled data engineers, we are eager to welcome a third member who shares our passion for transforming data into actionable intelligence.

Why Argus?

  • You can be part of a leading company in the automotive industry

  • You can help save lives

  • You can work with cool challenging technology

  • You can make an impact & help change the world

Responsibilities: 

  • Lead development projects of critical, high-availability, cloud-scale services and APIs

  • Support clients with large amounts of data and scalability in mind

  • Take part in all development stages – from design to deployment

  • Develop and deploy real time/batch data processing pipelines using the latest technologies

  • Design and build high-availability, cloud-scale data pipelines (ETLs)

Requirements

  • +3 years of experience in large scale, distributed server side, backend development

  • +3 years of experience developing using Scala

  • Extensive experience in stream & batch big data pipeline processing using Apache Spark

  • Experience with Linux, Docker, and Kubernetes

  • Experience in working with cloud providers (e.g., AWS, GCP)

  • A team player, highly motivated and a fast learner

  • Ability to assume ownership of goals and products

  • Passion for designing scalable, distributable and robust platforms and analytic tools

Advantages

  • Experience developing using NodeJS (preferably TypeScript), Python, Groovy

  • Experience in stream & batch big data pipeline processing using Apache Flink

  • Experience with Kafka, Airflow, Mongo, Elastic, HDFS or similar technologies

  • Experience with system monitoring (Prometheus, Influx or similar)

  • Experience in independently managing development projects from scratch to production

  • Experience in microservices architecture and flexible system design

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