Lublin, Wrocław
Lublin, Wrocław

About the vacancy

The client is a global digital rights management platform. Its services allow songwriters and artists to manage their music publishing and related rights. The platform has enabled the collection of royalties from over 20,000 unique sources in over 120 countries.

The client would like to build an ETL/data pipeline to support their analytics platform and a corresponding data warehouse to streamline the work of its data scientists and BI tools. Machine learning is expected to be utilized for trend analysis.

Must have

  • Solid knowledge of Python
  • Solid knowledge of Snowflake
  • Solid knowledge of the AWS stack (Redshift, Lambda, etc)
  • Cloud-oriented approach
  • Focus on scalability and reliability
  • Best practices and hands-on experience
  • Spoken English

Would be a plus

  • Experience with ETL tools/frameworks (Apache Airflow, Amazon SWF, other..)

Work at DataArt is

People first

Our relationships with clients and colleagues are based on mutual respect, no matter what differences we may have.

  • Long-term partnership
  • Respect for individuality and freedom of expression
  • Flexible schedule, comfortable offices, and the ability to work from home
  • Market-driven compensation and health care
  • High quality internal administrative services

Expertise

Get the opportunity to unleash your potential in DataArt's ecosystem

  • Highly qualified team
  • Communities and knowledge sharing
  • English classes
  • Internal educational system

Flexibility

Freedom to explore and opportunities to get new experience and knowledge. Constant willingness to change

  • Work contract with DataArt, not project based employment
  • Flat structure
  • Minimum rules
  • Rules and policies change with context, while values stay the same
  • Easy movement among offices and opportunities for relocation

Trust

The ability to count on each other and the willingness to trust people lies at the heart of relationships in DataArt

  • Management via context, bottom-up decision making. We avoid micromanagement
  • Clear equal rules and policies
  • Fair management
  • No ranking vs others, no regular reassessments. Fair seniority assessment

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