Senior Data Engineer

Description

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