Data Engineer

- 5+ years of data engineering experience with focus on large-scale data systems and ETL development - Strong proficiency in SQL, Python, and data processing frameworks (Spark, Kafka, Airflow, or similar) - Experience with cloud data platforms (AWS Redshift, Snowflake, BigQuery) and modern data stack tools - Hands-on experience building and maintaining data pipelines for high-volume, real-time data ingestion - Proficiency with data modeling, dimensional modeling, and data warehouse design principles - Experience with APIs, microservices, and event-driven data architectures - Strong understanding of data quality, monitoring, and observability practices - Knowledge of data governance, privacy regulations, and security best practices - Experience with marketing data sources (CRM systems, email platforms, web analytics) (Preferred) - Familiarity with gaming or entertainment industry data patterns and player behavior analytics (Preferred) - Experience with streaming data processing and real-time analytics platforms (Preferred) - Knowledge of A/B testing frameworks and experimentation measurement systems (Preferred) - Understanding of machine learning data requirements and feature engineering (Preferred) - Previous work with consumer-facing applications handling millions of daily active users (Preferred)