Who are you?

• You are a great teammate: you think that it’s worth to drop what you are doing to help a colleague, as it will make at least 2 people happy

• You are open minded: you make your due diligence and like to back up your opinions, but you’re always ready to listen, understand and change ideas when it makes sense

• You speak your mind, openly sharing your ideas, questions and concerns

• Able and eager to learn and pick up new things quickly

• You enjoy working in a fast-paced environment, always chasing for the latest innovative technology

• You have strong communication and documentation skills

• You strongly value proactive ideas exchange and technical conversation with your colleagues, but you are able to work independently and remotely most of the time,

  collaborating with colleagues located in other timezones

• You prefer to have full accountability and decisional space on how to approach a problem, only working according to its vision and business objective

• You value contribution to the open-source community through blog posts and articles as well as source code and artifacts

• These values resonate to you: Innovation, Inclusion, Iteration, Customer-centricity, Extreme ownership, Collaboration, Results drive, Embracing failure, Work-life balance

What do you know?

• Degree in Computer Science, or a related quantitative field

• 3+ years relevant experience with a consistent track record of using extensive amounts of data to drive product innovation

• Fluent in JVM Languages (Scala, Java, Kotlin) and Python

• Experience in SQL

• Knowledge of software paradigms like functional programming, object oriented

  programming, DDD, TDD

• Knowledge of Web technologies including REST, JSON, gRPC, and WebSockets

• Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semistructured data

• Experience with ETL or ELT pipelines

• Experience with stream processing, real-time pipelines as well as batch processing

• Experience with Apache Kafka, Flink and Spark

• Familiarity with software development tools and processes like Git and CI/CD

• Skilled in designing microservices

• Strong understanding of concepts such as concurrency, parallelism, and event driven architecture

• The following requirements are a plus:

  • Experience with Kubernetes

  • Experience with AWS in general

What will you do?

• Design complete or parts of data pipelines taking scale, performance, security, usability under consideration

• Liaise with product domain teams to help them turn data into information, and information into business value

• Design, implement, maintain and evolve processing pipelines to support their data products

• Shape solutions to ensure the privacy and security of our players’ data

• Contribute in building a data catalog making wisdom accessible across the organization

• Implement, measure and monitor reliability for the services you will provide