Full-Time Big Data Engineer

You will:

• Develop new data pipelines and maintain our data ecosystem, focusing on fault-tolerant ingestion, storage and data lifecycle, and the computation of metrics, reports and derived information
• Communicate efficiently with your team-mates in order to develop software and creative solutions for our customer needs. 
• Write high-quality, reusable code, test it, and bring it to production
• You are familiar with applying best practices according to industry standards whilst promoting a culture of agility and excellence. 

Requirements

• Several years of experience developing in a modern programming language, preferably Java and Python
• Significant experience with developing and maintaining distributed big data systems with production quality deployment, and monitoring
• Exposure to high-performance data pipelines, preferably with Apache Kafka & Spark
• Experience with scheduling systems such as Airflow, and SQL/NoSQL Databases
• Experience with cloud data platforms is a plus
• Exposure to Docker and/or Kubernetes is preferred
• Good command of spoken and written English
• University degree in computer sciences or equivalent professional experience.