9+ years of hands-on Data Engineering with a focus on low latency Streaming and analysis.
4+ years of experience building low-latency production systems applying big data and cloud technologies (e.g. HDFS, Storm, Spark, Kafka, Amazon AWS, REST, etc.).
2+ years of Spark and Kafka expertise are required.
Excellent ability to understand complex requirements and to translate those requirements into working designs and high-quality software. Ability to blend a fast-moving startup perspective with the requirements of a highly regulated organization.
3+ years in teams applying modern agile software development practices with a focus on test-driven development and test automation
Proven track record of building complex, novel systems in startups or other organizations and industries such as IoT
Experience in NoSQL stores (e.g. DynamoDB, MongoDB, HBase, Cassandra, etc) and RDBMS.