Real-time Analytics Pipeline for Enhanced Gamer Engagement

As a dynamic startup in the Gaming & Entertainment Technology industry, we are focused on delivering engaging and immersive experiences to our users. Our current challenge is to leverage data to enhance gamer engagement and retention. We are seeking a skilled data engineer to design and implement a real-time data analytics pipeline. This project involves using Apache Kafka for event streaming, Spark for real-time data processing, and Snowflake or BigQuery for data warehousing and storage. The pipeline should support data observability and MLOps practices, ensuring that insights are accessible for real-time decision-making. The objective is to analyze player behavior, identify engagement trends, and personalize user experiences based on data-driven insights. This project is critical to our growth strategy, and we aim to implement it within a 4-6 week timeframe. The successful candidate will have experience in building robust data architectures and a deep understanding of gaming analytics.