Israel
Senior Data Engineer
R&D
Where
Israel
PlaxidityX 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. Our growing team is built of talented thinkers and we are always looking for more!
About The Position
Who are we?
PlaxidityX 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 PlaxidityX
We are the backbone of data operations at PlaxidityX, 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 PlaxidityX ?
- 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