- 4 to 12 years of work experience with a broad range of digital web and mobile products, technologies, platforms, patterns, frameworks, and methodologies
- Experience in development of AI solutions by designing proposed system; defining product architecture and functional capabilities including security specifications.
- Experience architecting, developing software, or scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform
- Deep understanding of open source data platform technologies to support data integration and analytics tasks at scale: Hadoop, Spark, Kafka, Kubernetes, or related technologies
- Experience using APIs, Web hooks and general data transfer approaches
- Prior experience with Data Engineering and Data Science systems is a plus
- Excellent analytical problem solving skills as well as communication skills