Senior Engineer, Data Platform

Are you excited about handling petabytes of data and building a world-class data platform? Then let’s talk!

Data that we collect plays a central role in how we make decisions and improve our games to serve our players the best way possible. Our Engineers therefore take great care in keeping the data correct, up to date and easily accessible. In this position you will be responsible for ensuring that our data platform and infrastructure are rock solid and follow modern best practices. You will be actively contributing to various data engineering areas and solving unique challenges arising from the massive scale.

In this role we value a versatile skill set ranging from strong software development background to devops experience to uncompromising attitude towards high data quality. We are aiming to strengthen our team with experts passionate about large scale deployments, real-time data collection and data governance. We also expect you to proactively advance our data tech stack and drive improvement discussions in collaboration with the rest of the team as well as data engineers and analysts across the company.

Responsibilities

• Own and improve the infrastructure for data collection, storage and processing
• Proactively suggest and implement improvements that increase scalability, robustness and availability of data systems
• Own cloud data infrastructure, deployment pipelines and monitoring systems
• Participate in 24/7 on-call to maintain batch and real-time data infrastructure
• Contribute to common data tooling to enhance engineering productivity
• Drive company-wide initiatives that advance the data architecture
• Together with the rest of the team, develop vision and strategy for data engineering practices

Requirements

• Strong knowledge of Python, knowledge of Java is a plus
• Experience with AWS infrastructure, especially with security and networking
• Knowledge of user management and secrets management within AWS
• Strong DevOps oriented mindset
• Track record of maintaining large scale applications and/or ETL pipelines
• Experience with setting up deployment pipelines and monitoring systems
• Experience with distributed data processing technologies (Spark, Flink, etc)
• Familiarity with one of the data streaming technologies (Kafka, Kinesis, etc)