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.

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.

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

• 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

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

Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, and try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practise English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities;
• Health insurance;
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Friendly atmosphere, concern for the comfort of specialists, contemporary office space;
• Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues.