About the Client
Our client focuses on game business analysis and hence acts as growth partner for game developers. By scaling through user acquisition, unlocking monetization potential, and understanding of data it becomes an extension of team and so frees other companies time, so they can focus on what they know the best- creating amazing games.
About the Role
For our client we looking for a Data Engineer to work on their own toolset closely with their biggest clients. As a Data Engineer, you will develop and operate data pipelines and integrations to ease everyday workflow. You will also participate in analytics and machine learning model design and implementation, together with the analysts and data scientists. Your responsibility is keeping the data and models fresh for serving hundreds of millions of players.
You strive to create an ETL dataflow that can scale to handle any new features that a live game teams want to build. While they work with different game teams, communication and knowledge sharing is vital. They frequently share their learnings, both successes and failures.
Your main responsibility is to build and operate data-driven features in our live games. This includes the following aspects:
Maintain pre-build ETL and integrations with 3rd party services, create and manage data pipelines
Data quality assurance
Work with product teams to define data to be collected for and from our data products for many use cases
Prepare and present the business impact of data products to stakeholders
Work as part of a team, but with plenty of opportunities to take responsibility on an individual level
Advanced knowledge of SQL
Solid knowledge of (statistical) programming language (Python)
Being passionate and committed to tasks, while maintaining an open and respectful attitude towards others and their work
Nice to Have Skills
Experience with cloud computing, preferably Google Big Query and AWS / Redshift
Proficient in big data and ETL technologies (AWS EMR, Spark, Airflow, or similar)
Ability to think clearly under pressure – you are expected to be able to respond to and troubleshoot a wide range of issues in a production environment
Communication skills: being able to compile and translate data, numbers and analyses into normal English, and present findings to non-technical audiences