Senior Data Engineer

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
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)
Strong experience with event streaming platforms like Kafka or its alternatives, such as Amazon MSK, Azure Event Hubs, or Confluent Cloud.
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:

+3 years of experience developing using Scala
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