Lublin,  Wrocław
Lublin,  Wrocław

About the vacancy

Our client is a global music and entertainment industry conglomerate headquartered in the US with offices in over 40 countries.

Currently, the company plans to expand the team and run the following projects: processing tools for new artists and tracks, license and rights management, marketing, and A/R activity.

Projects and applications will be built around the concept of a unified data storage system. This will help develop products that best fit business goals.

Must have

  • Good knowledge of the general principles of Big Data
  • Good knowledge of Java, Scala
  • Experience in developing distributed systems
  • Design and development experience in the Amazon Web Service environment (CloudWatch, S3, Step Functions, Lambda, Batch, Kinesis, EMR, Glue, Databricks)
  • Knowledge of Apache Spark, Snowflake
  • Experience working with DynamoDB, Big Table, Aurora
  • Experience in parallel computing
  • Experience working with Git
  • Spoken English

Would be a plus

  • Experience working with of Atlassian products: JIRA, Confluence
  • Experience working with CI-tools (Jenkins)
  • Knowledge of monitoring tools (DataDog)

Learn more about our policy of equal opportunities in employment

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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