Head of Data Engineering

Qualifications and Skills

As well as being willing to take risks to succeed, even if it means failing a few times, the ideal candidate should possess the following qualifications and skills:

1. Big Data Technologies

An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow.

2. Experience with Cloud Services

Experience with AWS, and with tools like Docker & Kubernetes.

3. Quantitative Degree

A degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, etc.

4. Software Development Experience

Software Development experience in Python or Scala.

5. Database Expertise

SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB, etc.