Data Engineer, Music Distribution Platform

CLIENT

Our client works at the forefront of music distribution technology, connecting its clients with digital service providers like Spotify, Apple Music, and Amazon Music while helping them get the most from their music, whether that’s with award-nominated label services, industry-leading revenue accounting or using their suite of best-in-class products.

PROJECT OVERVIEW

DataArt's specialists are helping them to develop new features of the music platform.
We invite you to our company, not a project.

TEAM

The project team currently works in a Scrum model.

POSITION OVERVIEW

We are looking for a highly experienced Data Engineer with solid Python experience to work on the music distribution platform.

TECHNOLOGY STACK

Apache Airflow, GCP (Big Query, Storage, Kubernetes Engine), Python.

Responsibilities

• Help with building scalable ETL pipelines
• Solve data-related business objectives using existing tools
• Integrate easily with APIs
• Perform data preparation for Data Scientists

Requirements

• Solid Python experience
• Strong SQL skills
• Experience with Apache Airflow
• Experience with GCP (specifically Big Query, Storage, Kubernetes Engine)
• In-depth understanding of Kubernetes/Terraform/Helm/Docker
• Solid ETL/ELT experience and preferably knowledge of Keboola
• Ability to integrate easily with APIs
• Knowledge of Git
• Fluency in working with Linux/Unix
• Good analytical background and the ability to perform data preparation for Data Scientists
• Good spoken English

Nice to have

• Knowledge of Apache Spark
• Understanding of Agile methodologies
• Ability to work collaboratively in a global team