Real-time Analytics Platform for Enhanced Player Engagement in Gaming & Esports

As a rapidly growing company in the gaming and esports sector, we recognize the critical importance of player engagement and real-time decision-making. We are looking to build a sophisticated real-time analytics platform that will provide insights into player behavior and game dynamics. This project involves constructing a data pipeline using Apache Kafka for event streaming, enabling the ingestion of high-velocity data from our gaming platforms. The data will be stored and managed in Snowflake, allowing for efficient querying and analysis. The processing of this data will be conducted using Spark, with dbt for data transformations and Airflow for orchestrating workflow automations. The aim is to deliver actionable insights in real-time, enhancing our ability to adapt game mechanics and improve player retention. This platform will also incorporate data observability tools to ensure the reliability and quality of our analytics. We seek a data engineer who has expertise in these technologies and can drive the project from conception to deployment.