Senior Data Engineer (Machine Learning-focus)

Architect, scale, and maintain the data infrastructure for real-time and batch ML workflows, ensuring data availability through processing, storage, aggregation, and API development. Streamline data processes by integrating testing, monitoring, alerting, and error recovery while designing a feature store for centralized feature discovery and serving. Build and optimize highly scalable pipelines using Apache Airflow and Apache Spark, focusing on reliability and cost-efficiency. Contribute to innovation by turning academic ideas into production-grade solutions and leverage AI coding tools to accelerate development cycles. Drive best practices for data quality, CI/CD, and technical documentation while mentoring peers and identifying infrastructure bottlenecks. Join a high-performing team delivering efficient, scalable systems that influence billions of real-time decisions daily.