- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond- Require a strong understanding of the intersection between business, analytics, and engineering resulting in a proactive approach, focusing on reusable solutions, to improve efficiency and time to insight- Must be able to work in a rapidly changing environment and perform effectively in a sprint-based, agile development environment