to constantly learn and apply new trends and technologies to handle business problems.
Cloud platform expertise as a thought leader and practitioner
Proficient in creating practical multi-layered architecture diagrams
Experience in translate business needs into technical architectures, satisfying functional and non-functional requirements
Demonstrates skill in creating technical roadmaps to achieve target state architecture
Big Data experience leveraging a variety of cloud technologies to acquire and transform data for real time advanced analytics.
Proficient with containerization technologies such as Docker, Mesos, Kubernetes
Proficient platform engineering of Big Data technologies such as Hadoop, Spark, Hive, Kafka, Impala, etc…
Experienced with data engineering practices around data collection, organization, and integration
Demonstrated skill at data cleansing, data quality assessment, and data management
Knowledge in optimal computational environment requirements for data processing, data mining and machining
Experience evaluating, deploying, and utilizing platforms and technologies which support SDLC leveraging CI/CD principles
At least 4 years of experience architecting cloud technologies and platforms for enterprise scale and complexity
Confirmed experience with continuous integration and continuous delivery tooling to drive infrastructure code deployment
Full-Time (30+ hours) positions are eligible for a benefit package including the following (subject to certain collective bargaining agreements for Union positions): Paid time off; paid holidays; medical, vision, and dental coverage; flexible spending accounts; life insurance; disability insurance; retirement savings; employee and family assistance program (EAP)
Equal Opportunity Employer, including Disability/Vet.